Conference proceedings article
Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems

Publication Details
Stumme, G.; Benz, D.; Hotho, A.
Patras, Greece
Publication year:
Book title:
Proceedings of the 3rd Workshop on Ontology Learning and Population (OLP3)

Social bookmarking systems allow users to organise collections of resources on the Web in a collaborative fashion. The increasing popularity of these systems as well as first insights into their emergent semantics have made them relevant to disciplines like knowledge extraction and ontology learning. The problem of devising methods to measure the semantic relatedness between tags and characterizing it semantically is still largely open. Here we analyze three measures of tag relatedness: tag co-occurrence, cosine similarity of co-occurrence distributions, and FolkRank, an adaptation of the PageRank algorithm to folksonomies. Each measure is computed on tags from a large-scale dataset crawled from the social bookmarking system To provide a semantic grounding of our findings, a connection to WordNet (a semantic lexicon for the English language) is established by mapping tags into synonym sets of WordNet, and applying there well-known metrics of semantic similarity. Our results clearly expose differ

2.0, collaborative, folksonomies, folksonomy, itegpub, semantic, systems, tagging, web, web2.0

Last updated on 2019-25-07 at 13:23