Details

Autor(en) / Beteiligte

• Giannakidou, E.
• Koutsonikola, V.
• Vakali, A.
• Kompatsiaris, Y.

Titel

Co-Clustering Tags and Social Data Sources

Ist Teil von

• 2008 The Ninth International Conference on Web-Age Information Management, 2008, p.317-324

Ort / Verlag

IEEE

Erscheinungsjahr

2008

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• Under social tagging systems, a typical Web 2.0 application, users label digital data sources by using freely chosen textual descriptions (tags). Poor retrieval in the aforementioned systems remains a major problem mostly due to questionable tag validity and tag ambiguity. Earlier clustering techniques have shown limited improvements, since they were based mostly on tag co-occurrences. In this paper, a co-clustering approach is employed, that exploits joint groups of related tags and social data sources, in which both social and semantic aspects of tags are considered simultaneously. Experimental results demonstrate the efficiency and the beneficial outcome of the proposed approach in correlating relevant tags and resources.