Matches in ScholarlyData for { ?s ?p The existence of emergent semantics within social metadata(such as tags in bookmarking systems) has been proven by a large numberof successful approaches making the implicit semantic structures explicit.However, much less attention has been given to the factors which influencethe ’maturing’ process of these structures over time. A natural hypothesisis that tags become semantically more and more mature whenever manyusers use them in the same contexts. This would allow to describe atag by a specific and informative ’semantic fingerprint’ in the context oftagged resoures. However, the question of assessing the quality of suchfingerprints has been seldomly addressed.In this paper, we provide a systematic approach of mining semantic ma-turity profiles within folksonomy-based tag properties. Our ultimate goalis to provide a characterization of ’mature tags’. Additionally, we con-sider semantic information about the tags as a gold-standard source forthe characterization of the collected results. Our initial results suggestthat a suitable composition of tag properties allows the identification ofmore mature tag subsets. The presented work has implications for a number of problems related to social tagging systems, including tag ranking,tag recommendation, and the capturing of light-weight ontologies fromtagging data.. }
Showing items 1 to 1 of
1
with 100 items per page.
- 21 abstract "The existence of emergent semantics within social metadata(such as tags in bookmarking systems) has been proven by a large numberof successful approaches making the implicit semantic structures explicit.However, much less attention has been given to the factors which influencethe ’maturing’ process of these structures over time. A natural hypothesisis that tags become semantically more and more mature whenever manyusers use them in the same contexts. This would allow to describe atag by a specific and informative ’semantic fingerprint’ in the context oftagged resoures. However, the question of assessing the quality of suchfingerprints has been seldomly addressed.In this paper, we provide a systematic approach of mining semantic ma-turity profiles within folksonomy-based tag properties. Our ultimate goalis to provide a characterization of ’mature tags’. Additionally, we con-sider semantic information about the tags as a gold-standard source forthe characterization of the collected results. Our initial results suggestthat a suitable composition of tag properties allows the identification ofmore mature tag subsets. The presented work has implications for a number of problems related to social tagging systems, including tag ranking,tag recommendation, and the capturing of light-weight ontologies fromtagging data.".