Tag disambiguation through Flickr and Wikipedia

Authors:
Anastasia Stampouli;Eirini Giannakidou;Athena Vakali
Affiliations:
Aristotle University of Thessaloniki, Department of Informatics, Thessaloniki, Greece;Aristotle University of Thessaloniki, Department of Informatics, Thessaloniki, Greece and Centre of Research & Technology-Hellas, Informatics and Telematics Institute, Thessaloniki, Greece;Aristotle University of Thessaloniki, Department of Informatics, Thessaloniki, Greece
Venue:
DASFAA'10 Proceedings of the 15th international conference on Database systems for advanced applications
Year:
2010

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Abstract

Given the popularity of social tagging systems and the limitations these systems have, due to lack of any structure, a common issue that arises involves the low retrieval quality in such systems due to ambiguities of certain terms. In this paper, an approach for improving the retrieval in these systems, in case of ambiguous terms, is presented that attempts to perform tag disambiguation and, at the same time, provide users with relevant content. The idea is based on a mashup that combines data and functionality of two major web 2.0 sites, namely Flickr and Wikipedia and aims at enhancing content retrieval for web users. A case study with the ambiguous notion "Apple" illustrates the value of the proposed approach.