{"title":"Research on Ontology Matching Approach in Semantic Web","authors":"Rubo Zhang, Ying Wang, Jing Wang","doi":"10.1109/ICICSE.2008.51","DOIUrl":null,"url":null,"abstract":"The major purpose of applying ontology is to share and reuse knowledge. However, a large amount of heterogeneous ontologies are constructed in semantic Web, because there is not a common criterion for building ontology. Under the background, an ontology matching approach is put forward. It converts the ontology matching to the problem of building RDF (resource description framework) graph matching tree. Moreover, the approach presents a structural similarity measure based on the entities of nodes from the matching tree, compensating the inadequacies of the linguistic similarity measure. Our implementation and experimental results are given to demonstrate the effectiveness of the matching approach.","PeriodicalId":333889,"journal":{"name":"2008 International Conference on Internet Computing in Science and Engineering","volume":"182 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Conference on Internet Computing in Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSE.2008.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The major purpose of applying ontology is to share and reuse knowledge. However, a large amount of heterogeneous ontologies are constructed in semantic Web, because there is not a common criterion for building ontology. Under the background, an ontology matching approach is put forward. It converts the ontology matching to the problem of building RDF (resource description framework) graph matching tree. Moreover, the approach presents a structural similarity measure based on the entities of nodes from the matching tree, compensating the inadequacies of the linguistic similarity measure. Our implementation and experimental results are given to demonstrate the effectiveness of the matching approach.