{"title":"钢本体间概念相似度算法研究","authors":"Yu Hu, Wenjie Li, Si-Ling Liu","doi":"10.1109/WCSE.2012.12","DOIUrl":null,"url":null,"abstract":"Concepts similarity calculation is the basis for ontology mapping. Vocabulary, meaning of the word, property and instance of concepts are the important facts when calculating concepts similarity. All the facts above are combined and a composite method is proposed to calculate concepts similarity in this paper. In order to keep the effectiveness and comprehensiveness of the method, we combine concepts vocabularies matching algorithm, synonyms basing on Word Net matching algorithm, concepts properties and instances similarities. By calculating test data, the experiment result shows that the method can calculate concepts similarity effectively between two steel ontologies.","PeriodicalId":244586,"journal":{"name":"2012 Third World Congress on Software Engineering","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study of Concept Similarity Algorithm between Steel Ontologies\",\"authors\":\"Yu Hu, Wenjie Li, Si-Ling Liu\",\"doi\":\"10.1109/WCSE.2012.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Concepts similarity calculation is the basis for ontology mapping. Vocabulary, meaning of the word, property and instance of concepts are the important facts when calculating concepts similarity. All the facts above are combined and a composite method is proposed to calculate concepts similarity in this paper. In order to keep the effectiveness and comprehensiveness of the method, we combine concepts vocabularies matching algorithm, synonyms basing on Word Net matching algorithm, concepts properties and instances similarities. By calculating test data, the experiment result shows that the method can calculate concepts similarity effectively between two steel ontologies.\",\"PeriodicalId\":244586,\"journal\":{\"name\":\"2012 Third World Congress on Software Engineering\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third World Congress on Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSE.2012.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third World Congress on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSE.2012.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study of Concept Similarity Algorithm between Steel Ontologies
Concepts similarity calculation is the basis for ontology mapping. Vocabulary, meaning of the word, property and instance of concepts are the important facts when calculating concepts similarity. All the facts above are combined and a composite method is proposed to calculate concepts similarity in this paper. In order to keep the effectiveness and comprehensiveness of the method, we combine concepts vocabularies matching algorithm, synonyms basing on Word Net matching algorithm, concepts properties and instances similarities. By calculating test data, the experiment result shows that the method can calculate concepts similarity effectively between two steel ontologies.
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