Methodologies, tools and languages for building ontologies: where is their meeting point?
Data & Knowledge Engineering
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
Integrating Folksonomies with the Semantic Web
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
The state of the art in tag ontologies: a semantic model for tagging and folksonomies
DCMI '08 Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications
Tags4Tags: Using Tagging to Consolidate Tags
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Towards ontology learning from folksonomies
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
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
Ontologies are us: a unified model of social networks and semantics
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
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Social Tagging Systems (STS) empower users to classify and organize resources and to improve the retrieval performance over the tagged resources. In this paper we argue that the potential of the social process of assigning, finding, and relating symbols in collaborative tagging scenarios is currently underexploited and can be increased by extending the meta-model and using this extension to support the emergence of structured knowledge, e.g. semantic knowledge representations. We propose a model that allows tagging as well as establishing relations between any pair of resources, not just objects and tags. Moreover, we propose to use this extension to enrich and facilitate the process of building semantic knowledge representations. We (1) provide a formal description for our approach, (2) introduce an architecture to facilitate semantic knowledge derivation, and (3) present a preliminary experiment.