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Towards a Smallest Scale of Context in Ontology Integration

Towards a Smallest Scale of Context in Ontology Integration
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摘要 In order to solve the ambiguity problems in the semantic context (structure, granularity or scale) emerging in the process of ontology integration application, this paper analyzes the essential characters of context structure, proposes a novel semantic context generating algorithm, which is implemented over VO-Editor(visual ontology editor), from the satisfiability-based point of view, and proves that the context entity generated by this algorithm is smallest in scale and unique. It offers a feasible means for developers to handle context problems for ontology integration application. In order to solve the ambiguity problems in the semantic context (structure, granularity or scale) emerging in the process of ontology integration application, this paper analyzes the essential characters of context structure, proposes a novel semantic context generating algorithm, which is implemented over VO-Editor(visual ontology editor), from the satisfiability-based point of view, and proves that the context entity generated by this algorithm is smallest in scale and unique. It offers a feasible means for developers to handle context problems for ontology integration application.
出处 《Wuhan University Journal of Natural Sciences》 CAS 2008年第4期407-411,共5页 武汉大学学报(自然科学英文版)
基金 the National Natural Science Foundation of China ( 90604005)
关键词 ontology integration application context structure generating algorithm smallest scale of context ontology integration application context structure generating algorithm smallest scale of context
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参考文献10

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