< Back to workshops

WASP-HS Workshop in conjunction with the conference AI for Humanity and Society 2023

Knowledge Elicitation: Data Collection and Knowledge Modeling for Human-Aware Systems | ws-knowledge-elicitation.github.io

We invite researchers and practitioners to participate in the Workshop on Knowledge Elicitation: Data Collection and Knowledge Modeling for Human-Aware Systems, to be held during the WASP-HS Annual Conference on AI for Humanity and Society 2023, on November 14th in Malmö, Sweden.

Knowledge elicitation regards methods and techniques for extracting knowledge from domain experts to create structured descriptions of a domain. It involves analyzing qualitative data, such as interview transcripts, to identify concepts and relations of the domain. An overall aim in knowledge elicitation is to develop common vocabulary and semantics to enable representing, sharing and re-using the elicited knowledge across human-system boundaries. In the field of Artificial Intelligence (AI), such knowledge models, typically implemented in the form of ontologies, can be integrated into knowledge-based intelligent systems to enable context-aware reasoning and decision-making capabilities. One of the main challenges of knowledge elicitation is capturing the important information that sufficiently represents the real-world domain. The social sciences and humanities often deal with complex and nuanced information of human domains,  enabling insights that capture multi-dimensional views on, e.g., human, societal, socio-economic and political considerations of the world. Incorporating knowledge elicitation tools and methods in social sciences and humanities, which have well-established methods for qualitative data collection and analysis, can support the development of knowledge formats for understanding and sharing knowledge of, e.g., social structures, cultural practices, and human behaviors across disciplines and human-system boundaries to develop human-aware intelligent systems.

Topics of the workshop include but are not limited to

  • What are the state of the art methods for knowledge elicitation?
  • What are the methods in social sciences that can be, and are, applied in knowledge elicitation?
  • How can we bridge the gaps between knowledge engineering, humanities and social sciences?
  • What are the effective knowledge formats to support knowledge sharing between humanities, social sciences and computing science?
  • How can we ensure that elicited knowledge is accurate and complete?

Call for abstracts

We invite participants to submit abstracts for short talks (10 minutes) focused on sharing experiences in knowledge elicitation, such as case studies of knowledge elicitation, challenges and solutions encountered during knowledge elicitation, novel approaches for knowledge elicitation, or knowledge elicitation in specific domains.

Submissions and any questions are sent to: andreasb@cs.umu.se

Please note that in order to participate in this workshop you must also register for the conference via the event page. Registration for the conference opens on 15 August.

Important dates

  • Registration Deadline: August 15, 2023
  • Abstract Submission Deadline: July 30, 2023
  • Workshop Date: November 14, 2023, 09.00 – 12.00


In the first half of the workshop, short talks are presented followed by Q&A. The second half will initiate with a hands-on group exercise in knowledge elicitation focused on exchanging ideas and experiences in a collaborative and interactive environment. The workshop ends with discussions of group work and lessons learned.

Organizing committee

Andreas Brännström, Department of Computing Science, Umeå University, Sweden
Joel Wester, Department of Computing Science, Aalborg University, Denmark
Katie Winkle, Department of Information Technology, Uppsala University, Sweden
Harko Verhagen, Department of computer and systems sciences, Stockholm University, Sweden