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Preliminary Results in Tag Disambiguation using DBpedia

Garcia, A., Szomszor, M., Alani, H. and Corcho, O. (2009) Preliminary Results in Tag Disambiguation using DBpedia. In: Knowledge Capture (K-Cap'09) - First International Workshop on Collective Knowledge Capturing and Representation - CKCaR'09, Redondo Beach, California, USA.

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Abstract

The availability of tag-based user-generated content for a variety of Web resources (music, photos, videos, text, etc.) has largely increased in the last years. Users can assign tags freely and then use them to share and retrieve information. However, tag-based sharing and retrieval is not optimal due to the fact that tags are plain text labels without an explicit or formal meaning, and hence polysemy and synonymy should be dealt with appropriately. To ameliorate these problems, we propose a context-based tag disambiguation algorithm that selects the meaning of a tag among a set of candidate DBpedia entries, using a common information retrieval similarity measure. The most similar DBpedia en-try is selected as the one representing the meaning of the tag. We describe and analyze some preliminary results, and discuss about current challenges in this area.

Creators:Andres Garcia, Martin Szomszor, Harith Alani, Oscar Corcho
Item Type:Conference or Workshop Item
Research Group:Intelligence, Agents, Multimedia
Deposited On:21 Aug 2009 15:32 by Alani, Harith
ID Code:17792
Last Modified:19 Dec 2009 19:03
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