{"title":"自动构造本体中的质量问题识别","authors":"Toader Gherasim, G. Berio, M. Harzallah, P. Kuntz","doi":"10.1145/2479832.2479836","DOIUrl":null,"url":null,"abstract":"The validation of ontology quality is still a challenging task and is becoming even more so whenever ontologies are automaticall built. In previous works, we proposed a quite large classification of quality problems that need to be carefully analyzed for accomplishing the validation task. In this communication, we are going to identify the links between potential quality problems and the steps required to build an ontology. These problems result in what we call the \"suboptimal executions\" of those steps.","PeriodicalId":388497,"journal":{"name":"Proceedings of the seventh international conference on Knowledge capture","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Quality problem identification in automatically constructedontologies\",\"authors\":\"Toader Gherasim, G. Berio, M. Harzallah, P. Kuntz\",\"doi\":\"10.1145/2479832.2479836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The validation of ontology quality is still a challenging task and is becoming even more so whenever ontologies are automaticall built. In previous works, we proposed a quite large classification of quality problems that need to be carefully analyzed for accomplishing the validation task. In this communication, we are going to identify the links between potential quality problems and the steps required to build an ontology. These problems result in what we call the \\\"suboptimal executions\\\" of those steps.\",\"PeriodicalId\":388497,\"journal\":{\"name\":\"Proceedings of the seventh international conference on Knowledge capture\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the seventh international conference on Knowledge capture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2479832.2479836\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the seventh international conference on Knowledge capture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2479832.2479836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quality problem identification in automatically constructedontologies
The validation of ontology quality is still a challenging task and is becoming even more so whenever ontologies are automaticall built. In previous works, we proposed a quite large classification of quality problems that need to be carefully analyzed for accomplishing the validation task. In this communication, we are going to identify the links between potential quality problems and the steps required to build an ontology. These problems result in what we call the "suboptimal executions" of those steps.