%0 Journal Article %1 xu06ontology %A Xu, Li %A Embley, David %A Ding, Yihong %D 2006 %J Advances in Conceptual Modeling - Theory and Practice %K research.kr.ontologies research.integration %P 395--404 %T Combining Declarative and Procedural Knowledge to Automate and Represent Ontology Mapping %U http://dx.doi.org/10.1007/11908883_47 %X Ontologies on the Semantic Web are by nature decentralized. From the body of ontology mapping approaches, we can draw a conclusionthat an effective approach to automate ontology mapping requires both data and metadata in application domains. Most existingapproaches usually represent data and metadata by ad-hoc data structures, which lack formalisms to capture the underlyingsemantics. Furthermore, to approach semantic interoperability, there is a need to represent mappings between ontologies withwell-defined semantics that guarantee accurate exchange of information. To address these problems, we propose that domainontologies attached with extraction procedures are capable of representing knowledge required to find direct and indirectmatches between ontologies. And mapping ontologies attached with query procedures not only support equivalent inferences andcomputations on equivalent concepts and relations but also improve query performance by applying query procedures to derivetarget-specific views. We conclude that a combination of declarative and procedural representation based on ontologies favorsthe analysis and implementation for ontology mapping that promises accurate and efficient semantic interoperability.

@article{xu06ontology, abstract = {Ontologies on the Semantic Web are by nature decentralized. From the body of ontology mapping approaches, we can draw a conclusionthat an effective approach to automate ontology mapping requires both data and metadata in application domains. Most existingapproaches usually represent data and metadata by ad-hoc data structures, which lack formalisms to capture the underlyingsemantics. Furthermore, to approach semantic interoperability, there is a need to represent mappings between ontologies withwell-defined semantics that guarantee accurate exchange of information. To address these problems, we propose that domainontologies attached with extraction procedures are capable of representing knowledge required to find direct and indirectmatches between ontologies. And mapping ontologies attached with query procedures not only support equivalent inferences andcomputations on equivalent concepts and relations but also improve query performance by applying query procedures to derivetarget-specific views. We conclude that a combination of declarative and procedural representation based on ontologies favorsthe analysis and implementation for ontology mapping that promises accurate and efficient semantic interoperability.}, added-at = {2010-10-07T11:10:04.000+0200}, author = {Xu, Li and Embley, David and Ding, Yihong}, biburl = {https://www.bibsonomy.org/bibtex/2d65c5f6a50fcd4e69297cfd8531a4882/msn}, interhash = {677a0e10c0b98f2ae99b891cc2cea2d8}, intrahash = {d65c5f6a50fcd4e69297cfd8531a4882}, journal = {Advances in Conceptual Modeling - Theory and Practice}, keywords = {research.kr.ontologies research.integration}, pages = {395--404}, timestamp = {2010-10-07T11:10:04.000+0200}, title = {Combining Declarative and Procedural Knowledge to Automate and Represent Ontology Mapping}, url = {http://dx.doi.org/10.1007/11908883_47}, year = 2006 }