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

Authors:
Sofia Angeletou;Marta Sabou;Enrico Motta
Affiliations:
KMi, The Open University, Milton Keynes, United Kingdom;KMi, The Open University, Milton Keynes, United Kingdom;KMi, The Open University, Milton Keynes, United Kingdom
Venue:
Proceedings of the fifth international conference on Knowledge capture
Year:
2009

Citing 1
Cited 1

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Journal of Information Science

Introduction: complex systems and six challenges for the development of law and the semantic web

AICOL-I/IVR-XXIV'09 Proceedings of the 2009 international conference on AI approaches to the complexity of legal systems: complex systems, the semantic web, ontologies, argumentation, and dialogue

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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.