People Search and the Structural Dimension in Knowledge Management Systems

Authors

DOI:

https://doi.org/10.34190/eckm.26.2.3844

Keywords:

corporate knowledge management, expert knowledge, knowledge management systems, knowledge sharing, Search Function

Abstract

This paper’s starting point is the challenges that users experience when trying to locate colleagues with the aim of sharing knowledge. Beginning with the requirements to include cognitive, relational, and structural dimensions in knowledge management systems, we outline AI-based approaches and solutions that can contribute, in particular, to the structural dimension by means of people metadata. The aim is to strengthen searching in knowledge management systems and ultimately to be able to improve knowledge sharing.

Author Biographies

Tanja Svarre, Aalborg University

Tanja Svarre is an associate professor and co-lead of the research group Purposeful Technology Lab at the Department of Communication and Psychology at Aalborg University. Her research interests include professionals’ information searching and knowledge sharing, use, and practice, and evaluation of interactive information retrieval systems.

Marianne Lykke

Marianne Lykke is a professor and leader of the research section Human-centred Science andDigital Technology at the Department of Communication and Psychology, Aalborg University. She holds a PhD in Information management from Åbo Academy University, Finland. Her research interests include design of knowledge organisation systems, work-place information searching, user-centred design methodologies, and science and impact studies.

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Published

2025-08-29

Issue

Vol. 26 No. 2 (2025): Proceedings of the 26th European Conference on Knowledge Management VOL 2

Section

Work in Progress Papers

License

Copyright (c) 2025 European Conference on Knowledge Management

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.