Using Ontologies for Domain Information Retrieval
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OntoKhoj: a semantic web portal for ontology searching, ranking and classification
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
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Ontology-Based Information Retrieval Model for the Semantic Web
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
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An Adaptation of the Vector-Space Model for Ontology-Based Information Retrieval
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Data & Knowledge Engineering - Special issue: Natural language and database and information systems: NLDB 03
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Web Semantics: Science, Services and Agents on the World Wide Web
Ontology learning for search applications
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
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
Ranking ontologies with AKTiveRank
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Lexically evaluating ontology triples generated automatically from texts
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Query terms abstraction layers
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
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
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Journal of Theoretical and Applied Electronic Commerce Research
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Web search performance and efficiency is critical for many people and organizations in knowledge society. Nowadays, ontologies are being applied in a number of ontology-based information retrieval systems in order to improve the performance of these systems. However, quality of ontology plays an important role in these applications. In order to feasibly assess the impact, evaluation criteria need to be connected to scenarios of use with a purpose to enhance particular search tasks. In this article discussed preliminary results of the experiment showing how different ontology quality aspect can improve ontology-driven Web search performance.