Web Information Systems
In the Web Information Systems research group, we aim at making web information systems more effective in retrieving, processing and interpreting data generated by humans and machines.
- To understand what human‐ and machine-generated web data represents in terms of people’s actions, interests, intents, and behaviors on the web.
- To develop new solutions to meet the fundamental challenges in how systems effectively attribute and exploit semantics for human‐ and machine-generated data, given the size and dynamic nature of the web.
Our approach towards our objectives of understanding and developing, combines four main research areas:
- Data Management
- Human Computing & Human-Centered AI
- Information Retrieval
- User Modeling & Learning Analytics
As WIS researchers, together with our students, we strive to advance the state-of-the-art in relevant disciplines like user modeling, Web science, information retrieval, natural language processing, database systems, Web engineering, Web data management, user interaction, human computing, and human-AI interaction. We contribute to and impact these scientific disciplines by publishing in the top venues in these fields and by actively serving in the organization and program committees of relevant conferences and in editorial boards of relevant journals.
Further details on the research activities by the WIS team are listed at WIS Group Homepage.