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IEEE Intelligent Systems
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WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
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AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
SQORE: a framework for semantic query based ontology retrieval
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
OMEGA: An Automatic Ontology Metadata Generation Algorithm
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
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IEICE - Transactions on Information and Systems
combiSQORE: an ontology combination algorithm
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Image123: a "Web1.0+web2.0+semantic web" based image retrieval system
WISS'10 Proceedings of the 2010 international conference on Web information systems engineering
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Proceedings of the 27th Annual ACM Symposium on Applied Computing
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Most existing ontology search engines primarily base their search mechanisms solely on keyword matching. Users, therefore, are not well equipped with expressive means to structurally and semantically describe their ontology needs. We propose an ontology retrieval system based on SQORE, a novel framework that enables precise formulation of a semantic query in order to best capture a user's ontology requirements and rank the resulting ontologies based on their conceptual closeness to the given query. This paper develops a prototype system, investigates the effectiveness of SQORE framework, and compares its experimental results with the ones obtained from well-known ontology search engines. This investigative analysis indicates that SQORE system yields better results and better rankings.