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Evaluating Similarity Measures for Emergent Semantics of Social Tagging
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BibTeX
@MISC{Markines_evaluatingsimilarity,
author = {Benjamin Markines and Ciro Cattuto and Dominik Benz and Andreas Hotho and Gerd Stumme},
title = {Evaluating Similarity Measures for Emergent Semantics of Social Tagging},
year = {}
}
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Abstract
Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as navigation support, semantic search, and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures derived from established information-theoretic, statistical, and practical measures. Our framework deals generally and symmetrically with users, tags, and resources. For evaluation purposes we focus on similarity among tags and resources, considering different ways to aggregate annotations across users. After comparing how tag similarity measures predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory. We also investigate the issue of scalability. We find that mutual information with distributional micro-aggregation across users yields the highest accuracy, but is not scalable; per-user projection with collaborative aggregation provides the best scalable approach via incremental computations. The results are consistent across resource and tag similarity.
Keyphrases
emergent semantics social tagging similarity measure collaborative aggregation incremental computation tag similarity navigation support open directory ontology learning different way external grounding tag similarity measure traditional notion distributional micro-aggregation framework deal evaluation purpose user-created tag relation semantic search various general folksonomy-based similarity measure evaluation framework mutual information scalable approach practical measure per-user projection key question important data source semantic web application user-validated semantic proxy emergent information structure
