Available Soon
Ladjel Bellatreche, National Engineering School for Mechanics and Aerotechnics, France
Reflections on the Impact of Generative AI (GenAI) on Web Information Systems Research and Education
Luís Ferreira Pires, Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Netherlands
Short Bio
Ladjel Bellatreche is an Exceptional Class Full Professor at the National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA) in Poitiers, France, since 2010. He previously served as an Assistant and Associate Professor at Poitiers University and is currently a Part-time Professor at Harbin Institute of Technology (HIT), China. He has held various visiting positions at international institutions in Australia, Canada, the USA, and China.
Professor Bellatreche’s research covers data science, artificial intelligence, knowledge graphs, query-answering systems, recommender systems, and large language models, with a strong emphasis on query performance and energy efficiency. He has authored over 360 publications in leading international conferences and journals. He has led research teams and played major roles in international conferences such as ADBIS, CoopIS, ER, DaWaK, and IEEE Big Data. He serves as Associate Editor for Data and Knowledge Engineering (Elsevier) and Knowledge and Information Systems Journal (Springer), and is a member of the steering committees of several international conferences, including ER, ADBIS, DOLAP, MEDES, and BDA. He is also active on editorial boards and program committees, and has (co)-supervised 37 PhD students. His work spans multiple application domains, including aeronautics, urban computing, medicine, the film industry, and sustainable development
Short Bio
Luís Ferreira Pires was born in São Paulo, Brazil, in 1961. He obtained his B.Sc. degree in Electronics from the 'Instituto Tecnológico de Aeronáutica' (São José dos Campos, Brazil) in 1983 and, his M.Sc. degree in Electrical Engineering from the 'Escola Politécnica da Universidade de São Paulo' (São Paulo, Brazil), in the Computer Networks specialisation, in 1989. He obtained his PhD degree from the Faculty of Electrical Engineering of the University of Twente, Enschede, the Netherlands, in September 1994.
Since 1988 he is working at the University of Twente (Enschede, The Netherlands), initially as research fellow of the Faculty of Computer Science, from 1992 to 1994 as Assistant Professor of the Faculty of Electrical Engineering and since 1994 as Associate Professor of the Faculty of Electrical Engineering, Mathematics and Computer Science. He is currently also Programme Director of the Business & IT Bachelor and Master Education Programmes of the University of Twente. He is a member of the Services, Cyber-security and Safety (SCS) group. His professional interests are design methodologies for distributed systems, architecture of distributed systems, modelling and specification techniques, middleware platforms and telematics applications. He is responsible for the Master courses ‘Service-Oriented Architecture with Web services’ and ‘ADSA: Model-Driven Engineering’, and he contributes to the Bachelor Modules ‘Software Systems’ and ‘Data and Information’.
Abstract
Generative Artificial Intelligence (GenAI) is rapidly transforming the ways in which knowledge is created, communicated, and applied, with strong implications for research and education. Especially in the research area of Web Information Systems, which is covered by the WEBIST conference, we have noticed an increasing interest in GenAI and its application. Therefore, in this keynote, I will reflect on the impact of GenAI on Web Information Systems research and education. I will first introduce the Web Information Systems research area and discuss its historical development in order to properly define the context in which GenAI is being introduced. This research area has basically grown from Computer Networks and the TCP/IP Protocol Stack on the one hand, and the business applications of Information Systems on the other hand, and has been influenced by ‘disrupting’ technologies, like, e.g., cloud computing (virtualisation), IoT, and microservices, since its conception. I will then introduce GenAI and reflect on how it is already changing the way research is being performed in this area, mainly caused by generative coding assistants (co-pilots), and Agentic AI, powered by Large Language Models like ChatGPT, Claude, and Gemini. Since most researchers also have teaching duties, I will also reflect on how GenAI is affecting our education activities, based on my personal experience and observations. As a disclaimer, this keynote does not aim to give definitive answers in terms of concrete ‘do’s and don’ts’, but rather stir a lively discussion on this topic.