%0 Conference Paper %1 Ungrangsi/2007/combiSQORE: %A Ungrangsi, Rachanee %A Anutariya, Chutiporn %A Wuwongse, Vilas %B Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea %C Berlin, Heidelberg %D 2007 %E Aberer, Karl %E Choi, Key-Sun %E Noy, Natasha %E Allemang, Dean %E Lee, Kyung-Il %E Nixon, Lyndon J B %E Golbeck, Jennifer %E Mika, Peter %E Maynard, Diana %E Schreiber, Guus %E Cudré-Mauroux, Philippe %I Springer Verlag %K 2007 algorithm combination data_management iswc ontology ontology_(computer_science) ontology_alignment research_13 semantic_web %P 561--574 %T combiSQORE: An Ontology Combination Algorithm %U http://iswc2007.semanticweb.org/papers/561.pdf %V 4825 %X 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.

@inproceedings{Ungrangsi/2007/combiSQORE:, abstract = {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.}, added-at = {2007-11-07T19:13:58.000+0100}, address = {Berlin, Heidelberg}, author = {Ungrangsi, Rachanee and Anutariya, Chutiporn and Wuwongse, Vilas}, biburl = {https://www.bibsonomy.org/bibtex/2b7c023f17f6b801a08c8e77ed3c0528a/iswc2007}, booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea}, crossref = {http://data.semanticweb.org/conference/iswc-aswc/2007/proceedings}, editor = {Aberer, Karl and Choi, Key-Sun and Noy, Natasha and Allemang, Dean and Lee, Kyung-Il and Nixon, Lyndon J B and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Schreiber, Guus and Cudré-Mauroux, Philippe}, interhash = {b27bdf56d43da1e74b0185426d052f29}, intrahash = {b7c023f17f6b801a08c8e77ed3c0528a}, keywords = {2007 algorithm combination data_management iswc ontology ontology_(computer_science) ontology_alignment research_13 semantic_web}, month = {November}, pages = {561--574}, publisher = {Springer Verlag}, series = {LNCS}, timestamp = {2007-11-07T19:20:50.000+0100}, title = {combiSQORE: An Ontology Combination Algorithm}, url = {http://iswc2007.semanticweb.org/papers/561.pdf}, volume = 4825, year = 2007 }