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Research on Concept Similarity Algorithm of OWL Ontology Based-on Ontology Mapping

Author: ZhouJianYuan
Tutor: YangXiQuan
School: Northeast Normal University
Course: Computer Software and Theory
Keywords: Ontology mapping Formal Concept Analysis Concept Similarity RDF OWL language
CLC: TP311.52
Type: Master's thesis
Year: 2009
Downloads: 210
Quote: 4
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Abstract


The body is able to resolve the problem of sharing of knowledge in specific applications , thus , in practical applications , different users and groups often depending on the application requirements and applications build or select the appropriate body , the body described semantically often overlap or associated there are differences in language and representation model of ontology representation , causing the body heterogeneous . At the same time , due to the unlimited world knowledge can not be constructed to cover all things unified body . Therefore , to resolve the ontology isomerization , elimination of the inter-application interoperability obstacles to become a research focus of the Semantic Web applications . Based ontology construction has features of subjectivity and distribution , this paper presents a basic algorithm based ontology mapping - between body concept similarity algorithm ( OCTF ) . TL BACH algorithm , the algorithm based on the introduction of formal concept analysis (FCA) and the description of logical thinking OWL ontology description language similar calculation , on the one hand, the concept , the other hand, the concept of attribute similarity calculation . RDF triples taking into account the semantic information , can not meet the body between the calculated RDF description similarity introduced the OWL property operator , in order to calculate from the semantics of OWL concept similarity . In order to verify the effectiveness of the algorithm based on semantic ontology concept similarity computing between prototype the OCTF system , which provides the similarity calculation between the concept of the domain ontology and ontology concept features , experimental results verify OCTF algorithm in the calculation accuracy better than TL BACH algorithm . In this paper, based on the method of conceptual similarity between the body of the OWL language to better reflect the semantic characteristics of ontology concepts , and provide technical support for ontology mapping .

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