{"title":"An ontology of quality for enterprise modelling","authors":"Henry M. Kim, M. Fox, M. Grüninger","doi":"10.1109/ENABL.1995.484554","DOIUrl":null,"url":null,"abstract":"The TOVE Quality Ontology is the formal representation (using first-order logic) of terms, relationships, and axioms about quality which are generic beyond any specific quality domain. The assumption that quality is \"conformance to requirements\" is used to decompose the domain of quality into sub-domains of measurement, quality analysis, identification, and traceability. An ontological engineering methodology of posing ontological scope, stating competency questions, constructing data models and axioms, and visualization of the answering of competency questions is demonstrated with an example from the engineering of the traceability ontology.","PeriodicalId":275450,"journal":{"name":"Proceedings 4th IEEE Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE '95)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"116","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 4th IEEE Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE '95)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENABL.1995.484554","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 116
Abstract
The TOVE Quality Ontology is the formal representation (using first-order logic) of terms, relationships, and axioms about quality which are generic beyond any specific quality domain. The assumption that quality is "conformance to requirements" is used to decompose the domain of quality into sub-domains of measurement, quality analysis, identification, and traceability. An ontological engineering methodology of posing ontological scope, stating competency questions, constructing data models and axioms, and visualization of the answering of competency questions is demonstrated with an example from the engineering of the traceability ontology.
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