Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
WordNet: a lexical database for English
Communications of the ACM
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Ontology Matching
Ontologies are us: A unified model of social networks and semantics
Web Semantics: Science, Services and Agents on the World Wide Web
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Semantic Grounding of Tag Relatedness in Social Bookmarking Systems
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Semantic Enrichment of Folksonomy Tagspaces
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Inferring user's preferences using ontologies
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Categorising social tags to improve folksonomy-based recommendations
Web Semantics: Science, Services and Agents on the World Wide Web
Abstract framework for social ontologies and folksonomized ontologies
SWIM '12 Proceedings of the 4th International Workshop on Semantic Web Information Management
Hi-index | 0.00 |
Folksonomies are increasingly adopted in web systems. These ''social taxonomies'', which emerge from collaborative tagging, contrast with the formalism and the systematic creation process applied to ontologies. However, they can play complementary roles, as the knowledge systematically formalized in ontologies by a restricted group can be enriched by the implicit knowledge collaboratively produced by a much wider group. Existing initiatives that involve folksonomies and ontologies are often unidirectional, i.e., ontologies improve tag operations or tags are used to automatically create ontologies. We propose a new fusion approach in which the semantics travels in both directions-from folksonomies to ontologies and vice versa. The result of this fusion is our Folksonomized Ontology (FO). In this paper, we present our 3E steps technique-Extraction, Enrichment, and Evolution-which explores the latent semantics of a given folksonomy-expressed in a FO-to support ontology review and enhancement. It was implemented and tested in a visual review/enhancement tool.