Improving search in folksonomies: a task based comparison of WordNet and ontologies

Angeletou, Sofia; Sabou, Marta and Motta, Enrico (2009). Improving search in folksonomies: a task based comparison of WordNet and ontologies. In: Proceedings of the fifth international conference on Knowledge capture - K-CAP '09, p. 169.

DOI: https://doi.org/10.1145/1597735.1597766

Abstract

Search in folksonomies is hampered by the fact that the meaning of tags and their relations are not made explicit in the system. This is typically addressed by using knowledge sources (KS) to semantically enrich tagspaces, most notably WordNet and (online) ontologies. However, there is no insight of how the different characteristics of these KS contribute to search improvement in folksonomies. In this work we compare these two KS in the context of folksonomy search. We show that while WordNet leads to richer tag structures than online ontologies do, its fine-grained sense hierarchy renders these structures less effective in search compared to the ones generated from ontologies.

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• Item ORO ID
• 23450
• Item Type
• Conference or Workshop Item
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2009 Association for Computing Machinery
• Depositing User
• Kay Dave