WordNet: a lexical database for English
Communications of the ACM
XML Declarative Description: A Language for the Semantic Web
IEEE Intelligent Systems
CS AKTive space: representing computer science in the semantic web
Proceedings of the 13th international conference on World Wide Web
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Practical Statistics for Medical Research
Practical Statistics for Medical Research
SQORE: a framework for semantic query based ontology retrieval
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
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
PowerAqua: fishing the semantic web
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Next generation semantic web applications
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Ontology selection for the real semantic web: how to cover the queen's birthday dinner?
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
SQORE-based ontology retrieval system
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
Enhancing Folksonomy-Based Content Retrieval with Semantic Web Technology
International Journal on Semantic Web & Information Systems
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In order to timely response to a user query at run-time, next generation Semantic Web applications demand a robust mechanism to dynamically select one or more existing ontologies available on the Web and combine them automatically if needed. Although existing ontology retrieval systems return a lengthy list of resultant ontologies, they cannot identify which ones can completely meet the query requirements nor determine a minimum set of resultant ontologies that can jointly satisfy the requirements if no single ontology is available to satisfy them. Therefore, this paper presents an ontology retrieval system, namely combiSQORE, which can return single or combinative ontologies that completely satisfy a submitted query when the available ontology database is adequate to answer such query. In addition, the proposed system ranks the returned results based on their semantic similarities to the given query and their modification (integration) costs. The experimental results show that combiSQORE system yields practical combinative ontologies and useful rankings.