{"title":"一种改进的多策略本体映射方法","authors":"Gang Lv, Kunlun Wang, Dengsheng Liu","doi":"10.1109/ICCMS.2010.59","DOIUrl":null,"url":null,"abstract":"In this paper, an improved multi-strategy ontology mapping method is proposed to improve the accuracy of the ontology mapping. The structural characteristics of ontology and the effect of instance mapping upon the similarity of ontology are considered generally. Furthermore, our approach represents and measures the structure of the conceptual nodes through the design of a “code” method, and judges the similarity of the nodes via utilizing the similarity of their ancestor nodes within the influential domain. A 1:1 mapping method is also put forward when operating the selection of initial candidates. In this paper, the tools of WordNet, Jena, protégé, etc. are employed. Finally, the experimental results show the promise of our approach and improve the recall and precision of the retrieve.","PeriodicalId":153175,"journal":{"name":"2010 Second International Conference on Computer Modeling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Improved Method of Multi-strategy Ontology Mapping\",\"authors\":\"Gang Lv, Kunlun Wang, Dengsheng Liu\",\"doi\":\"10.1109/ICCMS.2010.59\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an improved multi-strategy ontology mapping method is proposed to improve the accuracy of the ontology mapping. The structural characteristics of ontology and the effect of instance mapping upon the similarity of ontology are considered generally. Furthermore, our approach represents and measures the structure of the conceptual nodes through the design of a “code” method, and judges the similarity of the nodes via utilizing the similarity of their ancestor nodes within the influential domain. A 1:1 mapping method is also put forward when operating the selection of initial candidates. In this paper, the tools of WordNet, Jena, protégé, etc. are employed. Finally, the experimental results show the promise of our approach and improve the recall and precision of the retrieve.\",\"PeriodicalId\":153175,\"journal\":{\"name\":\"2010 Second International Conference on Computer Modeling and Simulation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computer Modeling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMS.2010.59\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computer Modeling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMS.2010.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved Method of Multi-strategy Ontology Mapping
In this paper, an improved multi-strategy ontology mapping method is proposed to improve the accuracy of the ontology mapping. The structural characteristics of ontology and the effect of instance mapping upon the similarity of ontology are considered generally. Furthermore, our approach represents and measures the structure of the conceptual nodes through the design of a “code” method, and judges the similarity of the nodes via utilizing the similarity of their ancestor nodes within the influential domain. A 1:1 mapping method is also put forward when operating the selection of initial candidates. In this paper, the tools of WordNet, Jena, protégé, etc. are employed. Finally, the experimental results show the promise of our approach and improve the recall and precision of the retrieve.