Context - Sensitive Query Expansion Based on Fuzzy Clustering of Index Terms
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
A method for modeling uncertainty in semantic web taxonomies
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
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A semantic approach to boost passage retrieval effectiveness for question answering
ACSC '06 Proceedings of the 29th Australasian Computer Science Conference - Volume 48
Semantic representation of multimedia content: Knowledge representation and semantic indexing
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HQE: A hybrid method for query expansion
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Computationally efficient sup-t transitive closure for sparse fuzzy binary relations
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GAT: a Graphical Annotation Tool for semantic regions
Multimedia Tools and Applications
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ASWC'06 Proceedings of the First Asian conference on The Semantic Web
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Modern Information Retrieval Systems match the terms included in a user's query with available documents, through the use of an index. A fuzzy thesaurus is used to enrich the query with associated terms. In this work, we use semantic entities, rather than terms; this allows us to use knowledge stored in a semantic encyclopedia, specifically the ordering relations, in order to perform a semantic expansion of the query. The process of query expansion takes into account the query context,which is defined as a fuzzy set of semantic entities. Furthermore, we integrate our approach with the user's profile.