Exploiting tag similarities to discover synonyms and homonyms in folksonomies
Article first published online: 14 AUG 2012
Copyright © 2012 John Wiley & Sons, Ltd.
Software: Practice and Experience
How to Cite
Eynard, D., Mazzola, L. and Dattolo, A. (2012), Exploiting tag similarities to discover synonyms and homonyms in folksonomies. Softw: Pract. Exper.. doi: 10.1002/spe.2150
- Article first published online: 14 AUG 2012
- Manuscript Accepted: 23 JUL 2012
- Manuscript Revised: 22 APR 2012
- Manuscript Received: 5 OCT 2011
- tag clustering;
- tag disambiguation;
- tag similarity
Tag-based systems are widely available, thanks to their intrinsic advantages, such as self-organization, currency, and ease of use. Although they represent a precious source of semantic metadata, their utility is still limited. The inherent lexical ambiguities of tags strongly affect the extraction of structured knowledge and the quality of tag-based recommendation systems. In this paper, we propose a methodology for the analysis of tag-based systems, addressing tag synonymy and homonymy at the same time in a holistic approach: in more detail, we exploit a tripartite graph to reduce the problem of synonyms and homonyms; we apply a customized version of Tag Context Similarity to detect them, overcoming the limitations of current similarity metrics; finally, we propose the application of an overlapping clustering algorithm to detect contexts and homonymies, then evaluate its performances, and introduce a methodology for the interpretation of its results.Copyright © 2012 John Wiley & Sons, Ltd.