WEBIST 2013 Abstracts

Area 1 - Internet Technology
Full Papers Short Papers
Area 2 - Web Interfaces and Applications
Full Papers Short Papers
Area 3 - Society, e-Business and e-Government
Full Papers Short Papers
Area 4 - Web Intelligence
Full Papers Short Papers
Area 5 - Mobile Information Systems
Full Papers Short Papers

Area 1 - Internet Technology

Full Papers
Paper Nr: 59
Title:

Pre-order Compression Schemes for XML in the Real Time Environment
Authors:

Tyler Corbin, Tomasz Müldner and Jan Krzysztof Miziołek
Abstract: The advantages of using XML come at the cost, especially when used on networks and small mobile devices. This paper presents a design and implementation of four online XML compression algorithms, which exploit local structural redundancies of pre-order traversals of an XML tree, and focus on reducing the overhead of sending packets and maintaining load balancing between the sender and receiver. For testing, we designed a suite consisting of 11 XML files with various characteristics. Ten encoding techniques were compared, compressed respectively using GZIP, EXI, Treechop, XSAQCT and its improvement, and our algorithms. Experiments indicate that our new algorithms have similar or better performance than other online algorithms, and have only worse performance than EXI for files larger than 1 GB.
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Paper Nr: 62
Title:

Defining and Enforcing XACML Role-based Security Policies within an XML Security Framework
Authors:

Alberto De la Rosa Algarín, Timoteus B. Ziminski, Steven A. Demurjian, Robert Kuykendall and Yaira K. Rivera Sánchez
Abstract: Securing electronic data has evolved into an important requirement in domains such as health care informatics, with the eXtensible Markup Language (XML) utilized to create standards such as the Clinical Document Architecture and the Continuity of Care Record, which have led to a need for approaches to secure XML schemas and documents. In this paper, we present a method for generating eXtensible Access Control Markup Language (XACML) policies that target XML schemas and their instances, allowing instances to be customized for users depending on their roles. To do so, we extend the Unified Modeling Language (UML) with two new diagrams to model XML: the XML Schema Class Diagram (XSCD) to define the structure of an XML document in UML style; and the XML Role-Slice Diagram (XRSD) to define roles and associated privileges at a granular access control level. In the process, we separate the XML schemas of an application from its security definition in XRSD. To demonstrate the enforcement of our approach, we utilize a personal health assistant mobile application for health information management, which allows patients to share personal health data with providers utilizing XACML for security definition.
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Paper Nr: 68
Title:

Dynamic Transactional Workflows in Service-oriented Environments
Authors:

David Paul, Frans Henskens and Michael Hannaford
Abstract: Transactions in service-oriented environments, such as those provided by Web Services, traditionally support a reduced set of the ACID properties. This has typically required providers to constantly offer a fixed level of transaction support for each client request to a service. Further, clients have been limited in their ability to combine services with different transactional guarantees into a single workflow. We present a mechanism that allows the dynamic specification of transaction support for a given service call, and a cost-based model that allows clients to automatically reason about workflows consisting of service requests with various levels of transaction support. A Web Services transactions simulator is used to verify the viability of this dynamic transaction scheme, with results indicating potential benefits for both service providers and clients.
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Paper Nr: 72
Title:

HTML5 Agents – Mobile Agents for the Web
Authors:

Kari Systä, Tommi Mikkonen and Laura Järvenpää
Abstract: The emergence of HTML5 allows more applications to be run in browsers. Although most of these applications are often network connected, they can also run in off-line mode and especially after deployment they are not necessarily dependent on any server. We argue that the modern Web infrastructure with HTML5 as such can be an agent platform and mobile agents could be developed in similar way as Web applications. For us the agents can also be end-user applications that the user can send to a server so that the state is preserved and the execution can continue. The user can later fetch the agent to the same client device or to another device. In addition to the mobile agent use cases, the concept also allows users to continue their work later on another device or even allows other users to continue execution in their own devices. The paper presents the overall concept and architecture of HTML5 agents, a number of use cases, the proof-ofconcept implementation, and a list of example applications.
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Paper Nr: 87
Title:

Watermarking Images in the Frequency Domain by Exploiting Self-inverting Permutations
Authors:

Maria Chroni, Angelos Fylakis and Stavros D. Nikolopoulos
Abstract: In this work we propose efficient codec algorithms for watermarking images that are intended for uploading on the web under intellectual property protection. Headed to this direction, we recently suggested a way in which an integer number w which being transformed into a self-inverting permutation, can be represented in a two dimensional (2D) object and thus, since images are 2D structures, we have proposed a watermarking algorithm that embeds marks on them using the 2D representation of w in the spatial domain. Based on the idea behind this technique, we now expand the usage of this concept by marking the image in the frequency domain. In particular, we propose a watermarking technique that also uses the 2D representation of self-inverting permutations and utilizes marking at specific areas thanks to partial modifications of the image's Discrete Fourier Transform (DFT). Those modifications are made on the magnitude of specific frequency bands and they are the least possible additive information ensuring robustness and imperceptiveness. We have experimentally evaluated our algorithms using various images of different characteristics under JPEG compression. The experimental results show an improvement in comparison to the previously obtained results and they also depict the validity of our proposed codec algorithms.
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Short Papers
Paper Nr: 14
Title:

Integra System
Authors:

João C. Ferreira, Porfírio P. Filipe and Paulo M. Martins
Abstract: The current work deals with the scenario of growing population in the cities and the associated sustainable mobility problems. To address this issue it was developed a computational system called INTEGRA, ready for mobile devices, based on the integration from heterogeneous data sources such as multi-modal public transportation systems, car and bike sharing. This system is able to show and give guidance towards points of interests (POI) and promote a social collaborative network sharing annotations about sustainable mobility options. This work is a contribution for the European Project START. The project’s goal is to make travel easy and sustainable improving the quality of information provided to travellers. This goal is shared by transport operators and authorities associated to the Integra registered brand, promoted by the START consortium, that is already prepared for UK, France, Spain and Portugal.
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Paper Nr: 31
Title:

A Dynamic Load Balancing Strategy for a Distributed Biometric Authentication System
Authors:

Ana-Maria Pricochi, Andreea Salinca, Sorin Mircea Rusu and Bogdan Ivascu
Abstract: Biometrics are a nowadays trend in developing secure systems. Biometric authentication systems must provide a higher processing capacity, as biometric verifications are complex. Distributed computing relieves the computational burden, but the efficient scheduling of biometric authentication requests is still an open problem. This paper presents a distributed system for handling handwritten signature authentication requests, with a dynamic load balancer ensuring service-level-agreement compliance, low response times, fair use of resources and high availability. The load balancing method uses the service-level-agreements information, the classification of processing nodes and the classification of authentication tasks.
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Paper Nr: 37
Title:

Towards a Model-driven Development of Web Applications
Authors:

José Luis Herrero, Pablo Carmona and Fabiola Lucio
Abstract: In the last years, traditional web applications have evolved from static web pages to dynamic applications, and this is the reason why the complexity of this type of applications has been increased. With the appearance of AJAX and Web 2.0 technology, a new breed of applications for the Internet has emerged. However, as web applications become more and more complex, the quality degree is negative affected, since initial stages of software life cycle are not considered in the development process of this type of applications. In order to solve this problem, this paper proposes a model-driven architecture to support web application development from the design to the implementation model. With this aim, the following tasks have been performed: a new profile extends UML metamodel with new concepts from the web domain, a new framework supports the developing of web applications by composing web elements, and also provides different types of communication patterns, and finally, a transformation model generates web applications from the UML extension proposed. The main contribution of this work is an increase in the quality degree of web applications provided by the model-driven architecture proposed, but other advantages that can be mentioned are a high performance degree achieved by a prefetching cache mechanism, and a high reusability, since web elements can be reused in different web applications.
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Paper Nr: 63
Title:

Schema-based Parallel Compression and Decompression of XML Data
Authors:

Stefan Böttcher, Matthias Feldotto and Rita Hartel
Abstract: Whenever huge amounts of XML data have to be transferred from a web server to multiple clients, the transferred data volumes can be reduced significantly by sending compressed XML instead of plain XML. Whenever applications require querying a compressed XML format and XML compression or decompression time is a bottleneck, parallel XML compression and parallel decompression may be of significant advantage. We choose the XML compressor XSDS as starting point for our new approach to parallel compression and parallel decompression of XML documents for the following reasons. First, XSDS generally reaches stronger compression ratios than other compressors like gzip, bzip2, and XMill. Second, in contrast to these compressors, XSDS not only supports XPath queries on compressed XML data, but also XPath queries can be evaluated on XSDS compressed data even faster than on uncompressed XML. We propose a String-search-based parsing approach to parallelize XML compression with XSDS, and we show that we can speed-up the compression of XML documents by a factor of 1.4 and that we can speed-up the decompression time even by a factor of up to 7 on a quad-core processor.
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Paper Nr: 71
Title:

MONAD: A Model Driven Software Product Line to Create Domain Specific Websites
Authors:

Juan David Villa, Jaime Chavarriaga and Rubby Casallas
Abstract: Websites in a specific domain, i.e., restaurants or product catalogs, share various commonalities. Besides the vocabulary, they can share aspects such as sitemap structure or presentation elements. Web development companies can take advantage of these commonalities to create reusable assets, in the process of website construction. We present MONAD, a software product line to efficiently build websites for specific business domains. MONAD introduces the concept of Domain Template, an asset intended to parametrize websites in terms of their specific domain concepts. Using model-driven techniques, domain templates allow users to reuse presentation elements, sitemap and pages structures, and automate the insertion of content into a particular website. Domain templates are implemented using platform independent models; therefore they can be used to create websites on different web content management systems, i.e., Joomla! or wiki systems.
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Paper Nr: 76
Title:

Designing a Click Fraud Detection Algorithm - Exposing Suspect Networks
Authors:

Dimitris Antoniou, Christos Makris, Despina Meridou, Giannis Tzimas and Emmanouil Viennas
Abstract: As the use of the Web expands and appears almost everywhere in business’ practices, new algorithmic problems appear and need to be efficiently handled; one of them that has attracted the attention of both researchers and practitioners is click fraud. Click fraud can be defined as the practice of repetitively clicking on search ads without being actually interested in the content of the related links, with the intention of either increasing the Website’s profits or exhausting an advertiser’s budget. In this work, we propose an algorithm, which exposes suspect networks instead of single IPs, based on utilizing efficient data structures that have not been employed in previous works.
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Paper Nr: 90
Title:

Model-based Performance Testing of Web Services using Probabilistic Timed Automata
Authors:

Fredrik Abbors, Tanwir Ahmad, Dragos Truscan and Ivan Porres
Abstract: In this paper, we present an approach for performance testing of web services in which we use abstract models, specified using Probabilistic Timed Automata, to describe how users interact with the system. The models are used in the load generation process to generate load against the system. The abstract actions from the model are sent in real-time to the system via an adapter. Different performance indicators are monitored during the test session and reported at the end of the process. We exemplify with an auction web service case study on which we have run several experiments.
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Paper Nr: 98
Title:

Web Forums Change Analysis
Authors:

Tomasz Kaczmarek and Dawid Grzegorz Węckowski
Abstract: In this paper we present results from an experiment conducted on over 27 900 web pages gathered every 2 hours over 22 days from 16 forums (4256 independent crawls), to investigate how these web pages evolve over time. The results of the experiment became a basis for design choices for a focused incremental crawler, that will be specialized for efficient gathering of documents from web forums, maintaining high freshness of the local collection of obtained pages. The data analysis shows, that forums differ from generic web portals and identifying places in the source navigational structure, where new documents occur more often, would allow to improve the crawler’s performance and the collection freshness.
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Paper Nr: 114
Title:

QuON - A Generic Platform for the Collation and Sharing of Web Survey Data
Authors:

David Paul, Mark Wallis, Frans Henskens and Kim Nolan
Abstract: QuON is an open-source system that allows researchers to design and conduct Web-based surveys. It was created to overcome limitations in existing survey systems, and is especially concerned with conditional branching, user and group management, and the generation of metadata to allow optional sharing and external discovery of collected survey data. This paper describes the current QuON software system, its features, and future directions.
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Paper Nr: 3
Title:

WebRTC using JSON via XMLHttpRequest and SIP over WebSocket - Initial Signalling Overhead Findings
Authors:

Michael Adeyeye, Ishmael Makitla and Thomas Fogwill
Abstract: Web Real-Time Communication (WebRTC) introduces real-time multimedia communication as native capabilities of Web browsers. With the adoption of WebRTC the Web browsers will be able to use WebRTC to communicate with one another (peer-to-peer), and with WebSocket servers such as Mobicents SIP Servlets and other server technologies that support WebSocket communication to enable SIP-to-WebRTC communication. This position paper discusses the two common methods of doing real-time communication in Web browsers throughWebRTC. The methods are JavaScript Object Notation (JSON) via XMLHttpRequest (XHR) and Session Initiation Protocol (SIP) via WebSocket. A three-user WebRTC video chat prototype application was developed and used to evaluate both methods. Additional signalling overhead introduced into a browser by each method was determined. The results showed WebRTC-SIP/WS has more overhead than WebRTCJSON/ XHR. This signalling overhead findings are useful in informing the WebRTC working groups in terms of additional overhead introduced by proposed WebRTC methods, the finding could also help application developers make decision on their choice of technologies and protocols when developing WebRTC-supported applications.
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Paper Nr: 11
Title:

Empowering Collaborative Business Intelligence by the use of Online Social Networks
Authors:

Jens Kaufmann and Peter Chamoni
Abstract: Online Social Networks (OSNs) gain more and more attention in nearly all systems or concepts that deal with the exchange of information between human actors. While the analysis process in Business Intelligence systems normally is based on structured and pre-filtered data, OSNs promise a lot of customer insights for companies. On the other hand, OSNs are a common product used by the analysts themselves to interconnect and discuss. Therefore they may serve the inter-human exchange about the analyzed figures and support collaboration of the users. We show how OSNs can support the collaboration and communication in a joint analysis process and prove the feasibility with a small prototype.
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Paper Nr: 22
Title:

SPADE - A Test Framework for SOAP Analysis in Dynamic Environments
Authors:

Morten Avlesen, Skage Spjelkavik, Bjørn Vik, Frank T. Johnsen and Trude H. Bloebaum
Abstract: We have developed a SOAP Analysis in Dynamic Environments (SPADE) test framework for conducting experiments with Web services communication optimizations. Our framework consists of a Web service and a client, a proxy translator module, a network emulator module, and an analysis module. The Web service and client pair is intended for evaluation, and its only task is to provide traffic for testing. The translator module translates the communication between the Web service and the client to other protocols. The network emulator module simulates different network conditions. Finally, the analysis module is used to measure the performance of the different protocols. The contribution of this paper is our easily extendable test framework for evaluating Web services transport protocols (and compression algorithms).
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Paper Nr: 52
Title:

Semantic XML Filtering on Peer-to-Peer Networks using Distributed Bloom Filters
Authors:

Panagiotis Antonellis, Stavros Kontopoulos, Christos Makris, Yannis Plegas and Nikos Tsirakis
Abstract: Information filtering systems constitute a critical component in modern information seeking applications. As the number of users grows and the information available becomes even bigger it is imperative to employ scalable and efficient representation and filtering techniques. Typically the use of XML representation entails the profile representation with the use of the XPath query language and the employment of efficient heuristic techniques for constraining the complexity of the filtering mechanism. However, as the number of XML documents exchanged daily grows rapidly, the need for distributed management is becoming vital. In this paper we introduce the Distributed Bloom Filters and we propose a new distributed XML filtering system for peer-to-peer (P2P) networks. The major advantage of Distributed Bloom Filters, in comparison to the classical structure is their space efficiency and improved performance. The proposed system efficiently filters the incoming XML documents using a virtual index created on top of the network. In addition, the proposed system supports semantic disambiguation of both the stored user profiles and the XML documents, thus providing better matching results.
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Paper Nr: 57
Title:

DAG – Index - A Compressed Index for XML Keyword Search
Authors:

Stefan Böttcher, Marc Brandenburg and Rita Hartel
Abstract: With the Growing Size of Publicly Available XML Document Collections, Fast Keyword Search Becomes Increasingly Important. We Present DAG-Index, a New Indexing and Keyword Search Technique That Is Suitable for DAG-Compressed Data and Has the Advantage That Common Sub-Trees Have to Be Searched Only Once.
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Paper Nr: 69
Title:

BPEL Aided Framework for Constructing Monitoring Rules in Service Oriented Architectures
Authors:

Plamen Petkov and Markus Helfert
Abstract: Since the ascension of Service orientation architectures, data quality topic is becoming more and more extensive. Based on a data quality management approach, we propose a framework for analysing data produced by the composite service execution. In this paper we focus on the preparation stage, the stage where the quality is defined. Apart from other methods available which involve extracting or importing business rules into business processes, we propose technique for constructing monitoring rules which serves as a data quality arbiter. The process of composing is aided by the BPEL language. More particularly, service variables are obtained from the BPEL and WSDL repository and sets of operations are suggested to the business body. Eventually, monitoring rules are stored into a practical oriented repository.
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Paper Nr: 75
Title:

Semantic Matching to Achieve Software Component Discovery and Composition
Authors:

Sofien Khemakhem, Khalil Drira and Mohamed Jmaiel
Abstract: In CBSE, current approaches based on software component are in short of flexibility because of lacking semantic. In this paper, we introduce an extended semantic discovery of software components in which non functional properties of components are considered. We also introduce an ontology supported automatic component composition method to realize the integration of the adequate component composite in the current project.
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Paper Nr: 77
Title:

Cost-effective Web-based Media Synchronization Schemes for Real-time Distributed Groupware
Authors:

Maarten Wijnants, Peter Quax and Wim Lamotte
Abstract: A multitude of application domains benefit from synchronized multimedia content presentation and playback across spatially scattered client stations. Online remote tutoring, telework and teleconferencing, and the non-co-located synchronous browsing through a digital photo album are merely some examples of potential use cases, which are referred to collectively as real-time distributed groupware. This paper presents five concrete schemes that realize media synchronization over the Web. The proposed techniques have been implemented and experimentally validated as part of the synchronous MediaSharing (sMS) service, a framework which grants geographically dispersed users the ability to share and synchronously consume digital pictures and video clips. All five schemes are completely Web-compliant, achieve relatively loose synchronization accuracy, and can be categorized as being non-distributed in the sense that they require centralized coordination. Besides being technically compared, the synchronization solutions are subjected to a high-level assessment in terms of their infrastructural requirements and the thereby associated necessary operational expenditure.
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Paper Nr: 89
Title:

Making Data Citable - A Web-based System for the Registration of Social and Economics Science Data
Authors:

Dimitar Dimitrov, Erdal Baran and Dennis Wegener
Abstract: Reliable identification and citation of research datasets, used to answer particular research questions, is currently limited. Even with well agreed standards, classic bibliographic methods of data citation have their limits when research datasets have been used several times or are stored in different locations. In this paper, we present the web-based information system da|ra, which aims at addressing this issue. We introduce a technical architecture which allows the registration of metadata of research datasets. The system allows a user to get a DOI name for these datasets, to search for registered datasets and to resolve DOI names. Today, our system is used by 12 publication agents and includes more than 6,000 research datasets that can be searched and cited using their DOI name.
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Paper Nr: 95
Title:

It is Time to propose a Complete Methodology for Designing Semantic Databases
Authors:

Chedlia Chakroun, Ladjel Belllatreche and Yamine Aït-Ameur
Abstract: Nowadays, domain ontologies have been advocated by advanced applications. This phenomenon contributes to the generation of big semantic data hard to manage by the main memory solutions. Persistent solutions were proposed as an alternative to ensure the scalability of those applications. As a consequence, a new type of database is born, called semantic database (SDB). Several types of SDB have been proposed including different architectures of the target DBMS and storage models for ontology and its instances. By exploring the literature, we figure out that most important research studies were concentrated on the physical design of the SDB, where solutions were proposed to increase the performance of the final SDB. In this paper, we propose a design methodology dedicated to SDB including the main phases of the lifecycle of the database development: conceptual, logical and physical. The conceptual design of SDB can be easily performed by exploiting the similarities between ontologies and conceptual models. The logical design phase is performed thanks to the incorporation of dependencies between concepts and properties of the ontologies. Finally, a prototype implementing our design approach on Oracle 11g is outlined.
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Paper Nr: 97
Title:

Large Ontologies Partitioning for Alignment Techniques Scaling
Authors:

Marouen Kachroudi, Walid Hassen, Sami Zghal and Sadok Ben Yahia
Abstract: In the semantic Web register, ontologies are shown to be of help for many applications thanks to their expressiveness ability to explicit shared conceptualizations. This fact encouraged the emergence of large ontologies making their handling beyond human or sometimes machine capabilities. Thus, ontology partitioning seems to be a thriving issue for tackling such oversized ontologies and their administration through several systems. To meet this challenge, we propose in this paper a partitioning method, designed to take into account the goal of the alignment task.
Paper Nr: 124
Title:

From Object-oriented Programming to Service-oriented Computing - How to Improve Interoperability by Preserving Subtyping
Authors:

Diana Allam, Hervé Grall and Jean-Claude Royer
Abstract: The object-oriented paradigm is increasingly used in the implementation and the use of web services. However, the mismatch between objects and document structures in the wire has a negative impact over interoperability, more particularly when subtyping is involved. In this paper, we discuss how to improve interoperability in this context by preserving the subsumption property associated to subtyping. First we show the weaknesses of existing web service frameworks used for serialization and deserialization. Second we propose new foundations for serialization and deserialization, which leads to the specification of a new data binding between objects and document structures, compatible with subtyping.
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Area 2 - Web Interfaces and Applications

Full Papers
Paper Nr: 9
Title:

TagNet: Using Soft Semantics to Search the Web
Authors:

Geert Vanderhulst and Lieven Trappeniers
Abstract: Semantic annotations are key to efficiently retrieve resources on the Web. On the one hand, ontologies underlying Web resources give rise to linked data. On the other hand, tagging has become increasingly popular to bring order in data across Web applications and social networks. While taxonomies and folksonomies serve the same purpose (i.e. classification), there is a large gap in semantics between uncontrolled keywords used for tagging and hierarchical concepts found in a taxonomy. In this paper we introduce sematags as light-weight `soft semantics' which aim to bridge the gap between `no semantics' and `hard semantics'. Sematags define aliases (synonyms) and isas (hypernyms) which overcome the typical issues conventional tags cope with such as ambiguity. Furthermore, we present TagNet, a framework that extracts sematags from lexicons and existing knowledge bases and exploits them to annotate, link and retrieve resources on the Web. We evaluate how soft semantics can be used to semi-automatically map tagged photos in Flickr on DBpedia concepts and vice versa.
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Paper Nr: 32
Title:

Using Personal Assistant Dialogs for Automatic Web Service Discovery and Execution
Authors:

Márcio Fuckner, Jean-Paul Barthès and Edson Emilio Scalabrin
Abstract: Web services and their standards have reduced the complexity of integration between heterogeneous systems, having a widespread adoption by industry. Several semantic Web services techniques concerning automatic discovery and execution are promising but still too complex to allow a large-scale adoption. Consequently, such services require end users to use traditional software engineering practices, with complex and non-intuitive interfaces in some cases. In this paper, we present an automatic approach for service discovery and execution, using theWeb service descriptor as the only source. The process could be summarized as a two step process: (i) identifying candidates based on linguistic cues extracted from theWeb service descriptor; (ii) extracting from the user’s natural language sentences the necessary parameters to complete the action. The generated proof-of-concept shows its viability for publishing independent Web services to end-users using natural language sentences, giving only their descriptors as a source.
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Paper Nr: 36
Title:

A Distributed Ranking Algorithm for the iTrust Information Search and Retrieval System
Authors:

Boyang Peng, L. E. Moser, P. M. Melliar-Smith, Y. T. Chuang and I. Michel Lombera
Abstract: The iTrust system is a decentralized and distributed system for publication, search and retrieval of information over the Internet and the Web, that is designed to make it difficult to censor or filter information. In the distributed ranking algorithm for iTrust presented in this paper, a source node that publishes a document indexes the words in the document and produces a term-frequency table for the document. A requesting node that issues a query and receives a response uses the URL in the response to retrieve the term-frequency table from the source node. The requesting node then uses the term-frequency tables from multiple source nodes and a ranking formula to score the documents with respect to its query. Our evaluations of the distributed ranking algorithm for iTrust demonstrate that the algorithm exhibits stability in ranking documents and that it counters scamming by malicious nodes.
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Paper Nr: 41
Title:

Evaluating Frameworks for Creating Mobile Web Apps
Authors:

Henning Heitkötter, Tim A. Majchrzak, Benjamin Ruland and Till Weber
Abstract: Mobile Web apps are an alternative to native apps when developing mobile applications for more than one platform. They can be accessed from almost any current smartphone and tablet using a browser. However, developing a Web app adapted to the particularities of mobile devices such as limited screen size and touch-based interaction requires consideration and effort. Several frameworks with different strengths and weaknesses support creating mobile Web apps. In this paper, we develop a set of criteria to be met by mobile Web frameworks of high quality. Based on these criteria, we evaluate jQuery Mobile, Sencha Touch, The-M-Project, and Google Web Toolkit combined with mgwt, thereby assessing their suitability for certain situations. We find Sencha Touch suited for mobile Web apps of moderate and increased complexity, while jQuery Mobile is a good starting point for apps primarily concerned with a mobile user interface.
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Paper Nr: 61
Title:

SerfSIN: Search Engines Results' Refinement using a Sense-driven Inference Network
Authors:

Christos Makris, Yannis Plegas, Giannis Tzimas and Emmanouil Viennas
Abstract: Α novel framework is presented for performing re-ranking in the search results of a Web search engine, incorporating user judgments as registered in their selection of relevant documents. The proposed scheme combines smoothly techniques from the area of Inference Networks with text processing techniques exploiting semantic information, and is instantiated to a fully functional prototype at present leading to a reranking whose quality outperforms significantly the initial ranking. The innovative idea is the use of a probabilistic network based to the senses of the documents. When the user selects a document, the belief of the network to the senses of the selected document is raised up and the documents that contain these senses are ranked higher. Also we present an implemented prototype that supports three different Web search engines (and it can be extended to support many more), while extensive experiments in the ClueWeb09 dataset using the TREC’s 2009, 2010 and 2011 Web Tracks’ data depict the improvement in search performance that the proposed approach attains.
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Paper Nr: 94
Title:

Popularity Growth Patterns of YouTube Videos - A Category-based Study
Authors:

Shaiful Alam Chowdhury and Dwight Makaroff
Abstract: Understanding the growth pattern of content popularity has become a subject of immense interest to Internet service providers, content makers and on-line advertisers. This understanding is important for the sustainable deployment of content distribution systems. A significant amount of research has been done in analyzing the popularity growth patterns of YouTube videos. Unfortunately, little work has been done that investigates the popularity patterns of YouTube videos based on video object category. In this paper, we perform an in-depth analysis of the popularity pattern of YouTube videos, considering video categories. We find that the time varying popularity of different YouTube categories are different from each other. For some categories, views at early ages can be used to predict future popularity, whereas for some other categories, predicting future popularity is a challenging task and requires more sophisticated techniques (e.g. time-series clustering). The outcomes of these analyses can be instrumental towards designing a reliable workload generator, which can be further used to evaluate different caching policies and distribution mechanism for YouTube and similar sites.
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Short Papers
Paper Nr: 58
Title:

Kcanvas: An Application for Modern PIM - Organizing Daily Fragments of Information and Telling Story of Personal Interest
Authors:

Akiko Takahashi and Katsumi Tanaka
Abstract: In our previous work, we introduced a web application named “Kcanvas” and how users received it. Kcanvas provides a huge canvas as a playful interface so that users can intuitively manage fragments of information that they are interested in in their everyday life in a casual manner. Subsequently we had face-to-face user observation sessions to get to know users better. The participants not only enjoyed composing their own can- vases but also willingly told their stories of personal interest hopping on fragments of information on their canvases, while they hesitated to make their canvases public. Throughout the user observation sessions, we are convinced ourselves stronger that storytelling will be a key to organize one’s daily fragments of information and there is a need to take care layers in one’s personal information space: a private layer for one’s fragments of bare interest and a public layer for sharing stories. In this paper, based on the findings from the user observation sessions, we explain a mental model towards personal information, redefine the structure of personal information space based on the mental model, and introduce Kcanvas’ newly added and enhanced functions for storytelling.
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Paper Nr: 60
Title:

Exploiting Progressions for Improving Inverted Index Compression
Authors:

Christos Makris and Yannis Plegas
Abstract: In this paper, we present an algorithmic technique for compressing the document identifier lists of an inverted index which can be combined with state of the art compression techniques such as algorithms from the PForDelta family or Interpolative Coding and attain significant space compaction gains. The new technique initially converts the lists of document identifiers to a set of arithmetic progressions; the representation of an arithmetic progression uses at most three (!) numbers. This process produces an overhead which are the multiple identifiers that have to be assigned to the documents so we have to use a secondary inverted index and an extra compression step (PForDelta or Interpolative Coding) to represent it. Performed experiments in the ClueWeb09 dataset depict the superiority in space compaction of the proposed technique.
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Paper Nr: 86
Title:

HelpMe!: A Serious Game for Rehabilitation of Children Affected by CVI
Authors:

Matteo Ciman, Ombretta Gaggi, Laura Nota, Luisa Pinello, Nicola Riparelli and Teresa Maria Sgaramella
Abstract: CVI (Cerebral Visual Impairment) is the leading cause of visual impairment in the United States and the Western Europe. Due to the high number of different inabilities that children could have when affected by CVI, it is crucial for the rehabilitation process to start from a good assessment, especially at early ages. In this paper we present HelpMe!, a serious game to improve the rehabilitation process for these children with a system able to adapt the exercises to each particular child and to his/her improvements. The system integrates an eye tracker system to correctly measure the performances of the child and his/her capability to watch and touch a moving object at the same time.
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Paper Nr: 20
Title:

Similarity-based Ontology Mapping in Material Science Domain
Authors:

Wei Lin, Changjun Hu, Yang Li and Xin Cheng
Abstract: How to accurately retrieve data for users from massive, distributed and relational complex material databases is a major challenge in the domain of material science. Ontology mapping is regarded as a solution provider to the problem addressed. The number of material ontologies that are publicly available and accessible increases dramatically, so does the need for establishing semantic mapping among them to ensure interoperability. In this paper, we proposed a compositive similarity measure for ontology mapping. The material ontologies are generated from relational databases schemas based on rules. Then they are compared from concept name, structure and individuals. Finally, we describe a set of experiments on material science domain and show that our method propose highly accurate ontology mapping.
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Paper Nr: 24
Title:

Usability on TV - Innovative User Interfaces Depicted in Current TV Series and their Potential to Inspire Actual Interfaces
Authors:

Yang Zhong and Monique Janneck
Abstract: Current television series, especially those revolving around or dealing with information technology or technical issues in general, often depict interesting ideas for user interfaces or interaction techniques. Especially, user interfaces are often shown to be very intuitive and easy to use: Frequently protagonists use unknown interactive systems without prior training and are able to conduct complex operations with the system. This paper analyzes user interfaces and interaction techniques depicted in “CSI: Miami”, a widely known US TV show. Possibilities and potentials to inspire actual user interfaces are explored.
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Paper Nr: 38
Title:

A Generative Approach to Virtual Museums
Authors:

Daniel Sacher, Daniel Biella and Wolfram Luther
Abstract: In this paper we introduce an automated approach for generating virtual museum exhibitions based on metadata. We will give an insight into the incorporation progress of X3Dom, as an additional export format supported by the 3D content generation framework, Replicave. The feasibility of these concepts will be tested by providing new application examples within the scope of our ongoing cooperation with the Salomon Ludwig Steinheim Institute.
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Paper Nr: 45
Title:

Real-time Self-teference Video Quality Measurement Technique
Authors:

Biao Jiang and Tarek Saadawi
Abstract: In This Paper, We Propose a Self-Reference Complex Wavelet Video Structural Similarity Index (SRCWVSSIM), as an Objective Measurement Algorithm for Real-Time Video Quality Assessment without Access to Original Video. We Show That Complex Wavelet Structural Similarity Index (CW-SSIM), Which Was Previously Proposed for Full-Reference Image Quality Assessment (IQA), Can Be Properly Applied to Self- Reference Real-Time Video Quality Assessment (VQA). It Is Shown That SRCW-VSSIM Is Closer to Human Vision Perception than Current Widely Used Full-Reference Error Sensitive Algorithm, and Is Better Fit for Real-Time Environment based on Its Less Complexity and No Need for a Copy of Original Video. Theoretical Analysis as Well as Simulation Results Are Presented.
Paper Nr: 47
Title:

Ontology of Imprecision and Fuzzy Ontology Applications
Authors:

Robin Wikström
Abstract: Dealing with uncertainty and vagueness is an important challenge for the Semantic Web. Ontologies are regularly used for structuring knowledge for the Semantic Web, however, the traditionally used ontologies are not suitable for all contexts. Introducing fuzzy logic offers new possibilities. In this paper an overview regarding ontology of imprecision is presented and a web application, based on the Fuzzy Wine Ontology is constructed. The paper provides some indications on how fuzzy ontologies can offer better and more reliable solutions. The web application opens the door for future developments in the knowledge mobilization field.
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Paper Nr: 74
Title:

Annotative Activity as a Potential Source of Web Service Invocation
Authors:

Anis Kalboussi, Omar Mazhoud and Ahmed Hadj Kacem
Abstract: The need for annotation systems in web pages becomes more and more claimed and felt, because the annotation is omnipresent. This paper proposes a novel approach to present the user’s annotative activity as a means to invoke the appropriate Web services. Therefore, we consider the annotation not only as a means of memorization of the reader’s reactions in the reading process but also as a potential source of web services invocation that can assist the annotator and help him to achieve his goals in any reading domain on the Web. This innovation leads then to an enrichment of annotation systems giving rise to new modules and features in their architecture.
Paper Nr: 81
Title:

Real Time Access to Multiple GPS Tracks
Authors:

Karol Waga, Andrei Tabarcea, Radu Mariescu-Istodor and Pasi Fränti
Abstract: Increasing availability of mobile devices with GPS receiver gives users the possibility to record and share a variety of location-based data, including GPS tracks. We describe a complete real-time system for acquisition, storage, querying, retrieval and visualization of GPS tracks. The main problems faced are how to store the data, how to access and how to visualize large amount of data. We propose to reduce the quantity of the data to be visualized, without affecting visualization quality. In order to achieve this, our system uses a fast polygonal approximation algorithm for different map scales along with a bounding box solution.
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Paper Nr: 82
Title:

O-Mopsi: Mobile Orienteering Game using Geotagged Photos
Authors:

Andrei Tabarcea, Zhentian Wan, Karol Waga and Pasi Fränti
Abstract: Location-based mobile gaming combines gameplay with physical activity. We have developed a game, OMopsi, based on the concept of orienteering, which can be played on mobile phones with GPS receiver and Internet connection. In order to complete a game, a player must visit a set of targets that are photos chosen from a user-generated geotagged database. Game creation, management and live tracking can be done using a web interface. The game was presented at an annual international festival which is aimed at introducing science and technology to school children and the overall feedback received from the players was positive.
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Paper Nr: 83
Title:

About an Extension of the Model-View-Controller Design Pattern for Increasing the Flexibility of Web based Applications - Design and First Experiences
Authors:

Markus Markard and Marc Jansen
Abstract: The development of web based applications gained enormous interests in recent years. Most of formerly desktop based applications nowadays provide at least a web based version or are completely reimplemented as web based applications. Nevertheless, from the development point of view, there are still a lot of strategies for the development of web based applications borrowed from the development strategies for desktop applications. Therefore, this paper concentrates on the description of an approach that allows to re-use a from the development of desktop applications well-known Design Pattern with a distinct enhancement for web based applications.
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Paper Nr: 96
Title:

A Visual Notation for the Integrated Representation of OWL Ontologies
Authors:

Stefan Negru and Steffen Lohmann
Abstract: The paper presents a visual notation for the Web Ontology Language (OWL) providing an integrated view on the classes and individuals of ontologies. The classes are displayed as circles, with the size of each circle representing its connectivity in the ontology. The individuals are represented as sections in the circles so that it is immediately clear from the visualization how many individuals the classes contain. The notation can be used to visualize the property relations of either the classes (conceptual layer) or of selected individuals (integrated layer), while certain elements are always shown for a better understanding. It requires only a small number of graphical elements and the resulting visualizations are comparatively compact. Yet, the notation is comprehensive, as it defines graphical representations for all OWL elements that can be reasonably visualized. The applicability of the notation is illustrated by the example of the Friend of a Friend (FOAF) ontology.
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Paper Nr: 119
Title:

Semantics for Spatio-temporal “Smart Queries”
Authors:

Benjamin Harbelot, Helbert Arenas and Christophe Cruz
Abstract: Nowadays there is abundant geospatial information on the web. However most of this information lacks the semantic notation that would permit software mechanisms to easily integrate heterogeneous data sources in complex analyses. In this paper we introduce an architecture designed to achieve this goal by using semantic web technologies. Our system has a client-server architecture, it uses GeoTools and Protege APIs to combine multiple spatial data sources into an ontology. The use of these tools enhances our analyses, providing us with reasoning and inference capabilities.

Area 3 - Society, e-Business and e-Government

Full Papers
Paper Nr: 40
Title:

Towards a Modular Architecture for Adaptable Signature-verification Tools
Authors:

Thomas Lenz, Klaus Stranacher and Thomas Zefferer
Abstract: The verification of electronic signatures represents a key component of security-sensitive applications. Signature-verification tools need to meet several requirements regarding security, reliability, usability, and accessibility. A conducted survey revealed that existing signature-verification tools often meet only a subset of these requirements. In most cases, available tools support a limited set of document and signature formats only, or do not feature appropriate interfaces that allow both end users and third-party applications to access the tool’s functionality in a convenient way. This complicates the development of electronic signature based third-party applications and reduces the usability for end users. To solve this problem, we propose a new architecture for Web based signature-verification tools. The proposed architecture follows a plug-in based approach that eases the integration of new signature formats and interfaces. The practical applicability of the proposed architecture is demonstrated by means of a concrete implementation covering different use cases. This implementation demonstrates that the proposed architecture facilitates the realization of signature-verification tools that are able to meet all requirements of end users and third-party applications. This way, the proposed architecture and the implemented solution contribute to the security, usability, and efficiency of present and future electronic signature based applications.
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Paper Nr: 44
Title:

Development of Mobile Applications in Regional Companies - Status Quo and Best Practices
Authors:

Tim A. Majchrzak and Henning Heitkötter
Abstract: Within a few years, smartphones and tablet computers have spread dramatically. While their hardware has become more powerful, the versatility of devices is driven by applications for them. These so-called apps are increasingly developed for business purposes. We wanted to find out whether apps are interesting for all businesses, how they think apps can be useful for them, in which way they consider to use them, and what kinds of challenges and problems they see. Therefore, we worked with local companies and conducted interviews. By analysing the transcripts we got detailed insights of the practial relevance of using apps. We present the status quo of app development by local companies, highlight early best practices described by them, and discuss our findings. Thereby, we raise topics for future research.
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Short Papers
Paper Nr: 26
Title:

Collective Intelligence - How Collaborative Contents and Social Media Changing the Face of Digital Library
Authors:

Agnes Devina Haryuni, Yong Zhang and Chunxiao Xing
Abstract: The growth of digital libraries has provided useful resources for users. However most digital libraries are not effectively to promote themself and engage audience. Limited resources also postponed the growth of the materials collection and expansion of related research and discussion. Our study shows how digital library can use social networking system to promote new material and engage user, allow user to share information and thoughts. It facilitates a collective intelligence system where user can interact and contribute in a knowledge sharing environment. In a platform for user-generated content, user can submit material and join discussion, and admin will learn the inputs and filter the content. This paper proposes the use of social networking system in digital library, delivers some case studies and explains how we can use social media to expand user base with recommender method. In this paper we also provide recommendations for further development.
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Paper Nr: 34
Title:

The Challenges of e-Gov in Times of Crisis
Authors:

Maddalena Sorrentino and Marco De Marco
Abstract: Two main reasons spur us to explore the nexus between e-government and economic crisis. The first, more general, is due to the fact that this relationship has been relatively little researched. The second, more pressing reason is the fact that in a time of recession no government can escape the tough new challenges posed by the design of stimulus packages. The paper discusses the Italian Digital Agenda and argues that the economic crisis spotlights the efficiency issue and also dictates the governance model between the various decisional levels, emphasizing the centralized logic. The study is an early effort to analyze the issues most likely determinant in shaping the IS/ICT demand at the macro level, i.e., the public sector as a whole. The experience of previous e-government programs will provide the basis on which to make a preliminary assessment of the growth impact of the Digital Agenda.
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Paper Nr: 67
Title:

Local e-Government Transformation - An International Comparison
Authors:

Stuart Dillon, Eric Deakins, Daniel Beverungen, Thomas Kohlborn, Sara Hofmann and Michael Rackers
Abstract: Governments have invested vast amounts of time, public money, and effort into technologising and transforming public sector relationships, with the goal of achieving optimised government service delivery, governance, and constituency participation. To discover the extent that transformation has actually been achieved by local government organisations, this paper provides a cross-national comparison of local egovernment effectiveness as judged by internal stakeholders in Australia, Germany, and New Zealand. It appears that e-government continues to be viewed by the policymakers charged with developing it as something that supplements, rather than displaces, their traditional government services. Far from being transformative, only incremental improvements to internal procedures and service quality were reported.
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Paper Nr: 80
Title:

An Exploratory Study to Design an Adaptive Hypermedia System for Online-advertisement
Authors:

Dana A. Al-Qudah, Alexandra I. Cristea and Shi Lei
Abstract: The revolutionary world of the World Wide Web has created an open space for a multitude of fields to develop and propagate. One of these major fields is advertisement. Online advertisement has become one of the main activities conducted on the web, heavily supported by the industry. Importantly, it is one of the main contributors to any businesses’ income. However, consumers usually ignore the great majority of adverts online. This research paper studies the field of online advertisement, by conducting an exploratory study to understand end users’ needs for targeted online advertisement using adaptive hypermedia techniques. Additionally, we explore social networks, one of the booming phenomena of the web, to enhance the appropriateness of the advertising to the users. The main current outcome of this research is that end users are interested in personalised advertisement that tackles their needs and that they believe that the use of social networks and social actions help in the contextualisation of advertisement.
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Paper Nr: 88
Title:

Promoting Best Practice Sharing within Organizations
Authors:

Angelo Di Iorio and Davide Rossi
Abstract: In recent years we are witnessing the wide adoption of Web 2.0’s social software tools (blogs, microblogs, wiki, forums, shared calendars, etc.) within organizations complementing (or even replacing) existing enterprise applications. This trend is justified by the improved immediacy with which information can flow among the members of the organization and by a better support of agile, emergent cooperation models that re-shape the practices and the processes within organizations, allowing their continuous refinement and alignment with the organizations’ missions and evolving know-how. One of the problems that arise in this new scenario is that as more and more practices and processes include interactions with several tools, often not controlled by the organization itself, it becomes more difficult to manage the knowledge they embody. In this paper we present an approach to mitigate this problem that plays nicely with the enhanced participation mechanisms triggered by social software. Our proposal revolves around the use of semantic wiki technologies as knowledge management tools; specifically we focus on dealing with practice and process-related knowledge, emerging from users interactions with Web 2.0 applications, and how this knowledge can effectively be represented, shared and made persistent.
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Paper Nr: 110
Title:

Co-creation in Social Media Platforms: End-users as Innovation Partners - Online Co-innovation within the Open Discovery Space
Authors:

Wouter Vollenbroek, Efthymios Constantinides and Sjoerd De Vries
Abstract: Innovation is a way of meeting changing public needs by developing new and better solutions; it is also one of the most extensively discussed issues in the academic literature and field practice. Changing students’ behaviour, increasing knowledge development, increasing parents’ involvement and new teaching methods that overtake the existing methods creates a certain necessity to develop new knowledge media in collaboration with all educational stakeholders. Under increasing competition and market pressure the innovation process has been subject to important transformation during the last 30 years. Educational publishers changed from being traditionally a “closed’, internal process, based on internal organisational expertise and structures (R&D, New Product Department, New product Management etc.) the innovation process is increasingly becoming externally oriented. Chesbrough (2003) popularized the trend of externalizing the innovation process by engaging innovation partners in what he called the Open Innovation model. With the explosion of the social media and the subsequent public empowerment the innovation process is becoming a domain where the end-users and stakeholders are often directly involved (Prahalad and Ramaswamy, 2004); Crowdsourcing and innovation with the end-users and stakeholders is becoming the new innovation norm after closed- and open innovation. In this paper we identify this trend as Online Co-Innovation and explain its main merits in relation to the implementation of the Open Discovery Space project in the Netherlands.
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Paper Nr: 105
Title:

How Facebook Impacts on Young Consumers’ Buying Decisions on E-Retailers
Authors:

Fangni Wang and Nadia Amin
Abstract: The purpose of this research is to use data collected from a survey to investigate the interactions between young consumers and products/services on social media sites, in particular on Facebook. Young consumers are considered as computer literate and use the Internet more than any other generation. It will be beneficial for the companies to understand their buying behaviours, product/service recommendations, as they are the future shoppers. While the technology is developing, the companies must realize the importance of eWOM (word-of-mouth) in the future e-business. The result will give the companies a clearer understanding on how to change and evolve their marketing strategy so they can adapt to this fast-forward thinking generation.
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Paper Nr: 120
Title:

ST-Rays: A Google Maps-based Geospatial Tool to Cross-analyze Urban Services and Tax Payments
Authors:

Alfio Costanzo
Abstract: From the Public Administration point of view, the local tax payment is the basic condition to implement suitable urban services for the citizens. However, from the citizen point of view, control tools that measure the quality of the services offered at urban scale are also requested to verify the correlation between taxes and services. Therefore, tax control and payment facilitation methods should be implemented to increase the yield of the taxes, as well as transparency and accountability, but also deeper information on the status of the services should be given to plan possible service quality improvement. Aim of this paper is to show an e-government tool to inform the citizens, using a Google Maps interface, on how much to pay depending on her/his properties and use or to inform the public offices on the proper and timely actions to solicit the tax payment of citizens in arrears. Also, the tool supports statistical inquiries to visualize the payment degree for an area chosen by authorized users by issuing the name of the district or the road of interest, or by sketching the zone contours directly on the display. Also, the tool allows the user to visualize for the chosen area the offered services to assess how their tax is being spent and to express their feedback.
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Area 4 - Web Intelligence

Full Papers
Paper Nr: 19
Title:

Discovering Influential Nodes in Social Networks through Community Finding
Authors:

Jerry Scripps
Abstract: Finding influential nodes in a social network has many practical applications in such areas as marketing, politics and even disease control. Proposed methods often take greedy approaches to find the best k nodes to activate so that the diffusion of activation will spread to the largest number of nodes. In this paper, we study the effects of using a community finding approach to not only maximize the number of activated nodes but to also spread the activation to more segments of the network. After describing our approach we present experiments that explain the effects of this approach.
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Paper Nr: 42
Title:

Classifying Short Messages on Social Networks using Vector Space Models
Authors:

Ricardo Lage, Peter Dolog and Martin Leginus
Abstract: In this paper we propose a method to classify irrelevant messages and filter them out before they are published on a social network. Previous works tended to focus on the consumer of information, whereas the publisher of a message has the challenge of addressing all of his or her followers or subscribers at once. In our method, a supervised learning task, we propose vector space models to train a classifier with labeled messages from a user account. We test the precision and accuracy of the classifier on over 13,000 Twitter accounts. Results show the feasibility of our approach on most types of active accounts on this social network.
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Paper Nr: 102
Title:

FactRunner: Fact Extraction over Wikipedia
Authors:

Rhio Sutoyo, Christoph Quix and Fisnik Kastrati
Abstract: The increasing role of Wikipedia as a source of human-readable knowledge is evident as it contains an enormous amount of high quality information written in natural language by human authors. However, querying this information using traditional keyword based approaches requires often a time-consuming, iterative process to explore the document collection to find the information of interest. Therefore, a structured representation of information and queries would be helpful to be able to directly query for the relevant information. An important challenge in this context is the extraction of structured information from unstructured knowledge bases which is addressed by Information Extraction (IE) systems. However, these systems struggle with the complexity of natural language and produce frequently unsatisfying results. In addition to the plain natural language text, Wikipedia contains links between documents which directly link a term of one document to another document. In our approach for fact extraction from Wikipedia, we consider these links as an important indicator for the relevance of the linked information. Thus, our proposed system FactRunner focusses on extracting structured information from sentences containing such links. We show that a natural language parser combined with Wikipedia markup can be exploited for extracting facts in form of triple statements with a high accuracy.
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Short Papers
Paper Nr: 23
Title:

Caching Strategies for In-memory Neighborhood-based Recommender Systems
Authors:

Simon Dooms, Toon De Pessemier and Luc Martens
Abstract: Neighborhood-based recommender systems rely greatly on calculated similarity values to match interesting items with users in online information systems. Because sometimes there are too many similarity values or available memory is limited it is not always possible to calculate and store all these values in advance. Sometimes only a subset can be stored and recalculations cannot be avoided. In this work we focus on caching systems that optimize this trade-off between memory requirements and computational redundancy in order to speed up the recommendation calculation process. We show that similarity values are not equally important and some are used considerably more than others during calculation. We devised a caching strategy (referred to as SMART-cache) that incorporates this usage frequency knowledge and compared it with a basic least recently used (LRU) caching mechanism. Results showed total execution time could be reduced by a factor of 5 using LRU for a cache storing only 0.2% of the total number of similarity values. The speedup of the SMART approach on the other hand was less affected by the order in which user-item pairs were calculated.
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Paper Nr: 25
Title:

User Profiles in Commercial Interaction Web Portals
Authors:

Carmen Moraga, Mª Ángeles Moraga, Angélica Caro, Coral Calero and Rodrigo Romo Muñoz
Abstract: The use of Web portals to carry out on-line transactions is continuously increasing. This paper studies this type of Web portals (which we have denominated as Commercial Interaction) from the perspective of data quality, since we consider that this is an essential element if Web portals are to be competitive and their use is to be boosted. The quality of data in a Web portal is determined on the basis of a set of data quality characteristics. However, we have established that some data quality characteristics are more important than others according to various user profiles, based on demographic aspects (gender, age range, level of studies and type of organisation). In order to do that, Commercial Interaction Web portal users were surveyed and, as a result of that, three different user profiles were identified. This paper describes the survey development and the generation of the user profiles.
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Paper Nr: 78
Title:

A Framework Concept for Profiling Researchers on Twitter using the Web of Data
Authors:

Selver Softic, Martin Ebner, Laurens De Vocht, Erik Mannens and Rik Van de Walle
Abstract: Based upon findings and results from our recent research (De Vocht et al., 2011) we propose a generic framework concept for researcher profiling with appliance to the areas of ”Science 2.0” and ”Research 2.0”. Intensive growth of users in social networks, such as Twitter generated a vast amount of information. It has been shown in many previous works that social networks users produce valuable content for profiling and recommendations (Reinhardt et al., 2009; Java et al., 2007; De Vocht et al., 2011). Our research focuses on identifying and locating experts for specific research area or topic. In our approach we apply semantic technologies like (RDFb, SPARQLc), common vocabularies (SIOCd, FOAFe, MOATf, Tag Ontologyg) and Linked Datah (GeoNamesi, COLINDAj) (Berners-Lee, 2006; Bizer et al., 2012) .
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Paper Nr: 91
Title:

Improving Tag Suggestion for Places using Digital Map Data
Authors:

Martin Garbe
Abstract: Today, tagging photos and website bookmarks is widely used. Geographical data is an additional type of resource which can be tagged. Locations representing geographic information can be tagged depending on activities done there. In this paper we present an explorative study to answer the question whether geographical map data can be used to describe similarities between places. When map data can be used to identify similar places services like tag suggestion could be improved. For the study very detailed crowd-sourced map data was used. In a period of four month places were manually tagged with activities done. A measurement for finding places which are similar in the sense of tagging is also presented. To evaluate our idea, we trained three machine learning classifiers (Decision Tree, Support Vector Machine, Naive Bayes). With a precision of 73% and a recall of 65% Decision Tree performed best. Our results indicate that crowd-based map data can assist in tagging geographical resources and can improve tag suggestion services.
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Paper Nr: 93
Title:

Improving Web Search Results with Explanation-aware Snippets - An Experimental Study
Authors:

Andias Wira-Alam and Matthäus Zloch
Abstract: In this paper, we focus on a typical task on a web search, in which users want to discover the coherency between two concepts on the Web. In our point of view, this task can be seen as a retrieval process: starting with some source information, the goal is to find target information by following hyperlinks. Given two concepts, e.g. chemistry and gunpowder, are search engines able to find the coherency and explain it? In this paper, we introduce a novel way of linking two concepts by following paths of hyperlinks and collecting short text snippets. We implemented a proof-of-concept prototype, which extracts paths and snippets from Wikipedia articles. Our goal is to provide the user with an overview about the coherency, enriching the connection with a short but meaningful description. In our experimental study, we compare the results of our approach with the capability of web search engines. The results show that 72% of the participants find ours better than these of web search engines.
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Paper Nr: 99
Title:

A Method to Manage the Difference of Precision between Profiles and Items for Recommender System - Applied Upon a News Recommender System using SVM Approach
Authors:

David Werner and Christophe Cruz
Abstract: Contractors, commercial and business decision-makers need economical information to drive their decisions. The production and distribution of a press review about French regional economic actors represents a prospecting tool on partners and competitors for the businessman. Our goal is to propose a customized review for each user, thus reducing the overload of useless information. Some systems for recommending news items already exist. The usefulness of external knowledge to improve the process has already been explained in information retrieval. The system’s knowledge base includes the domain knowledge used during the recommendation process. Our recommender system architecture is standard, but during the indexing task, the representations of content of each article and interests of users’ profiles created are based on this domain knowledge. Articles and Profiles are semantically defined in the Knowledge base via concepts, instances and relations. This paper deals with the similarity measure, a critical subtask in recommendation systems. The Vector Space Model is a well-known model used for relevance ranking. The problematic exposed here is the utilization of the standard VSM method with our indexing method.
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Paper Nr: 29
Title:

User-centered Social Network Profiles Integration
Authors:

Xuan-Truong Vu, Pierre Morizet-Mahoudeaux and Marie-Hélène Abel
Abstract: Large scale online social networks (OSNs) such as Facebook, Twitter, LinkedIn, have become an important part of our every day life. Users are connected to multiple OSNs in which they maintain their different profiles including a lot of personal and social information. The number of friends of a given user may grow so rapidly that it becomes impossible to manage all updates from friends’ profiles and to filter relevant new information. We present a FOAF-based profiles aggregation model, which is able to align different user profiles available on different OSNs into aggregated profiles within a single triple store. The aggregated profiles are then linked together by friend connection. We illustrate the applicability by the presentation of some applications which can provide users with some effective help for information searching.
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Area 5 - Mobile Information Systems

Full Papers
Paper Nr: 28
Title:

Context-aware Recommendations through Activity Recognition
Authors:

Toon De Pessemier, Simon Dooms, Kris Vanhecke, Bart Matté, Ewout Meyns and Luc Martens
Abstract: The mobile Internet introduces new opportunities to gain insight in the current user’s environment, behavior, and activity. This additional contextual information can be used as an extra information source to improve traditional recommendation algorithms. This article describes a framework to detect the current context and activity of the user by analyzing data retrieved from different sensors available on mobile devices. The framework can easily be extended to detect custom activities and is built in a generic way to ensure easy integration with other applications. On top of this framework, a recommender system is built to provide a personalized content offer, consisting of relevant information such as points-of-interest, train schedules, and touristic info, based on the user’s current context. Users who tested the application confirmed the usability and liked to use it. The recommendations are assessed as effective and help them to discover new places and interesting information.
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Short Papers
Paper Nr: 56
Title:

The Pilot Study of Users Attachment to Their Mobile Devices - Focusing on past Experience
Authors:

Soon Jae Kwon and Emy Elyanee Mustapa
Abstract: In this study, the concept of attachment between users and Information Systems; specifically on mobile device was examined. Furthermore, the moderating effects of users’ past experience were also investigated. The empirical study done involved 240 university students; to investigate the participants’ perceived value, perceived enjoyment, attachment and also continuous usage of mobile devices. Additionally, participants’ past experience was also enquired to examine its moderating effects. The results showed that attachment is mediating both perceived value and perceived enjoyment with continuous usage. Meanwhile, past experience negatively moderates perceived enjoyment with attachment and also negatively moderates attachment with continuous usage.
Paper Nr: 101
Title:

Using Web Services and Mobile Devices to Reuse on Requirements Engineering
Authors:

Karla Donato Fook, Irlanilson Rodrigues Santos, Maxwellen Nayra Silva Castro and Zair Abdelouahab
Abstract: Agility in software specification has been a key feature aimed by development teams. An important concept in this context is reuse. MROBJER is a method that supports goals and scenarios reuse through analogies among complex software systems. FROBJER is computational tool which was developed to support MROBJER application. However, this tool performs reuse in a standalone way using a local database. This paper presents a platform which involves Web service and a mobile application to improve FROBJER architecture. This approach allows MROBJER to run in a mobile platform through FROBJERMobile application.
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Paper Nr: 123
Title:

Supporting Content Contextualization in Web based Applications on Mobile Devices
Authors:

Alisa Sotsenko, Marc Jansen and Marcelo Milrad
Abstract: Mobile devices, in the form of smartphones, are endowed with rich capabilities in terms of multimedia, sensors and connectivity. The wide adoption of these devices allows using them across different settings and situations. One area in which mobile devices become more and more prominent is within the field of mobile learning. Here, mobile devices provide rich possibilities for the contextualization of the learner, by using the set of sensors available in the device. On the one hand, the usage of mobile devices enables participation in learning activities independent of time and space. Nevertheless, developing mobile learning applications for the heterogeneity of mobile devices available in the market becomes a challenge. Not only this is a problem related to form factor aspects, but also the large number of different operating systems, platforms and app infrastructures (app stores) are aspects to be considered. In this paper we present our initial efforts with regard to the development of cross-platform mobile applications to support the contextualization of learning content.
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