WordNet: a lexical database for English
Communications of the ACM
XML Declarative Description: A Language for the Semantic Web
IEEE Intelligent Systems
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
Swoogle: a search and metadata engine for the semantic web
Proceedings of the thirteenth ACM international conference on Information and knowledge management
SQORE: a framework for semantic query based ontology retrieval
DASFAA'07 Proceedings of the 12th international conference on Database systems for advanced applications
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
SQORE-based ontology retrieval system
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
combiSQORE: A Combinative-Ontology Retrieval System for Next Generation Semantic Web Applications
IEICE - Transactions on Information and Systems
Ontology construction using online ontologies based on selection, mapping and merging
International Journal of Web and Grid Services
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Automatic knowledge reuse for Semantic Web applications imposes several challenges on ontology search. Existing ontology retrieval systems merely return a lengthy list of relevant single ontologies, which may not completely cover the specified user requirements. Therefore, there arises an increasing demand for a tool or algorithm with a mechanism to check concept adequacy of existing ontologies with respect to a user query, and then recommend a single or combination of ontologies which can entirely fulfill the requirements. Thus, this paper develops an algorithm, namely combiSQORE to determine whether the available collection of ontologies is able to completely satisfy a submitted query and return a single or combinative ontology that guarantees query coverage. In addition, it ranks the returned answers based on their conceptual closeness and query coverage. The experimental results show that the proposed algorithm is simple, efficient and effective.