{"title":"本体群体中的冗余实例和错误实例检测机制","authors":"Xiaoyun Wang, Jianping Yao, Haochen Wang","doi":"10.1109/ICCSII.2012.6454616","DOIUrl":null,"url":null,"abstract":"With the rapid development of the Internet, many researchers have been focused on ontology knowledge bases updating. Ontology population has played an important role in updating ontology knowledge bases. However, most domestic and foreign scholars focus on the process of ontology population, while neglecting how to detect and eliminate redundant instances and how to detect the results of population. In this paper, we proposed a mechanism based on instance matching algorithm, trying to verify the results of population, we also present an empirical analysis to verify the validity of the method.","PeriodicalId":281140,"journal":{"name":"2012 International Conference on Computer Systems and Industrial Informatics","volume":"76 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Redundant instances and incorrect instances detection mechanism in ontology population\",\"authors\":\"Xiaoyun Wang, Jianping Yao, Haochen Wang\",\"doi\":\"10.1109/ICCSII.2012.6454616\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of the Internet, many researchers have been focused on ontology knowledge bases updating. Ontology population has played an important role in updating ontology knowledge bases. However, most domestic and foreign scholars focus on the process of ontology population, while neglecting how to detect and eliminate redundant instances and how to detect the results of population. In this paper, we proposed a mechanism based on instance matching algorithm, trying to verify the results of population, we also present an empirical analysis to verify the validity of the method.\",\"PeriodicalId\":281140,\"journal\":{\"name\":\"2012 International Conference on Computer Systems and Industrial Informatics\",\"volume\":\"76 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Computer Systems and Industrial Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSII.2012.6454616\",\"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 International Conference on Computer Systems and Industrial Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSII.2012.6454616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Redundant instances and incorrect instances detection mechanism in ontology population
With the rapid development of the Internet, many researchers have been focused on ontology knowledge bases updating. Ontology population has played an important role in updating ontology knowledge bases. However, most domestic and foreign scholars focus on the process of ontology population, while neglecting how to detect and eliminate redundant instances and how to detect the results of population. In this paper, we proposed a mechanism based on instance matching algorithm, trying to verify the results of population, we also present an empirical analysis to verify the validity of the method.