Ontology-driven document enrichment: principles, tools and applications
International Journal of Human-Computer Studies
Finding Out About: A Cognitive Perspective on Search Engine Technology and the WWW
Information Retrieval
Using Ontologies for Domain Information Retrieval
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
Data & Knowledge Engineering
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Query reformulation using automatically generated query concepts from a document space
Information Processing and Management: an International Journal
Bees Swarm Optimization Based Approach for Web Information Retrieval
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Improving information retrieval effectiveness by using domain knowledge stored in ontologies
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
An ontology-based information retrieval model
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Research on ontology-driven information retrieval
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Cooperative bees swarm for solving the maximum weighted satisfiability problem
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
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In this paper, we propose an extended IR vector space model by introducing some semantics concepts inherent to YAGO ontology (A large ontology derived from Wikipedia and Word Net), then an adaptation of Bees Swarm Optimization algorithm (BSO) that was developed previously for classical IR, to the new context. In the offline indexing step we define a representation based on semantics annotations taken from YAGO ontology, for the documents and the queries. Afterwards, we integrate the appropriate structures obtained at the first stage in the online interrogation process. The experimental tests have been performed on Reuter's corpus and compared to those previously obtained. The preliminary results clearly show that this pathway promises to provide efficient results for real time IR and deserve to be further deepened.