Usage patterns of collaborative tagging systems
Journal of Information Science
Querying the web: a multiontology disambiguation method
ICWE '06 Proceedings of the 6th international conference on Web engineering
Collective knowledge systems: Where the Social Web meets the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Integrating Folksonomies with the Semantic Web
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
E-Business Vocabularies as a Moving Target: Quantifying the Conceptual Dynamics in Domains
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Social semantic cloud of tag: semantic model for social tagging
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
SCARLET: semantic relation discovery by harvesting online ontologies
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
HyperTwitter: collaborative knowledge engineering via twitter messages
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
TagSorting: a tagging environment for collaboratively building ontologies
EKAW'10 Proceedings of the 17th international conference on Knowledge engineering and management by the masses
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Tagging has become increasingly popular and useful across various social networks and applications. It allows users to classify and organize resources for improving the retrieval performance over those tagged resources. Within social networks, tags can also facilitate the interaction between members of the community, e.g. because similar tags may represent similar interests. Although obviously useful for straightforward retrieval tasks, the current meta-data model underlying typical tagging systems does not fully exploit the potential of the social process of finding, establishing, challenging, and promoting symbols, i.e. tags. For instance, the social process is not used for establishing an explicit hierarchy of tags or for the collective detection of equivalencies, synonyms, morphological variants, and other useful relationships across tags. This limitation is due to the constraints of the typical meta-model of tagging, in which the subject must be a Web resource, the relationship type is always hasTag, and the object must be a tag as a literal. In this paper, we propose a simple yet effective extension for the current meta-model of tagging systems in order to exploit the potential of collective tagging for the emergence of richer semantic structures, in particular for capturing semantic relationships between tags. Our approach expands the range of the object of tagging from Web resources only to the union of (1) Web resources and (2) pairs of tags, i.e., users can now use arbitrary tags for expressing typed relationships between a pair of tags. This allows the user community to establish similarity relations and other types of relationships between tags. We present a first prototype and the results from an evaluation in a small controlled setting.