{"title":"CLEAN-OntoLex:一种半自动清洗词汇本体的方法","authors":"Ilyes Athimni, Anis Tissaoui, S. Sassi","doi":"10.1109/GSCIT.2014.6970127","DOIUrl":null,"url":null,"abstract":"Lexical ontologies can organize all concepts in a specific domain as well as the relations between concepts. They also define meaning units such as labels, definitions and concepts to describe the semantics of lexical units. The structure of these lexical resources can vary from the simple dictionary to a much more complex organization of ontology modeling the meaning of the words according to several levels of granularity. These resources are often less consistent and have numerous classification conceptual and lexical errors detected following a breach in the constraints that guarantee the consistency of its ontological structure. In this context, we proposed CLEAN-OntoLex, cleaning methodology and conceptual lexical ontology through a succession of steps.","PeriodicalId":270622,"journal":{"name":"2014 Global Summit on Computer & Information Technology (GSCIT)","volume":"312 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CLEAN-OntoLex: a method of semi-automatic cleaning lexical ontology\",\"authors\":\"Ilyes Athimni, Anis Tissaoui, S. Sassi\",\"doi\":\"10.1109/GSCIT.2014.6970127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Lexical ontologies can organize all concepts in a specific domain as well as the relations between concepts. They also define meaning units such as labels, definitions and concepts to describe the semantics of lexical units. The structure of these lexical resources can vary from the simple dictionary to a much more complex organization of ontology modeling the meaning of the words according to several levels of granularity. These resources are often less consistent and have numerous classification conceptual and lexical errors detected following a breach in the constraints that guarantee the consistency of its ontological structure. In this context, we proposed CLEAN-OntoLex, cleaning methodology and conceptual lexical ontology through a succession of steps.\",\"PeriodicalId\":270622,\"journal\":{\"name\":\"2014 Global Summit on Computer & Information Technology (GSCIT)\",\"volume\":\"312 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Global Summit on Computer & Information Technology (GSCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GSCIT.2014.6970127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Global Summit on Computer & Information Technology (GSCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GSCIT.2014.6970127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
CLEAN-OntoLex: a method of semi-automatic cleaning lexical ontology
Lexical ontologies can organize all concepts in a specific domain as well as the relations between concepts. They also define meaning units such as labels, definitions and concepts to describe the semantics of lexical units. The structure of these lexical resources can vary from the simple dictionary to a much more complex organization of ontology modeling the meaning of the words according to several levels of granularity. These resources are often less consistent and have numerous classification conceptual and lexical errors detected following a breach in the constraints that guarantee the consistency of its ontological structure. In this context, we proposed CLEAN-OntoLex, cleaning methodology and conceptual lexical ontology through a succession of steps.