{"title":"基于本体的TOGAF内容元模型形式化研究","authors":"Bouchra El Idrissi, Chadia Tetou, Karim Doumi","doi":"10.1109/ISCV54655.2022.9806063","DOIUrl":null,"url":null,"abstract":"Ontology, when well designed, provides a semantic model that facilitates human interpretation of models and reduces their ambiguity and complexity. A formal-based standards ontology can be processed automatically by computer programs, providing several benefits such as automatic knowledge discovery and inference, inconsistency detection, and interoperability. Several frameworks have been developed to control the complexity of the enterprise architecture. This paper focuses on the TOGAF framework and precisely on its content metamodel. It analyses and discusses the reported approaches to its formalization using ontologies. Additionally, it proposes some possible future directions to improve this work and enhance its adoption by the industrial world and academic communities.","PeriodicalId":426665,"journal":{"name":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On The Formalization of The TOGAF Content MetaModel Using Ontologies\",\"authors\":\"Bouchra El Idrissi, Chadia Tetou, Karim Doumi\",\"doi\":\"10.1109/ISCV54655.2022.9806063\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ontology, when well designed, provides a semantic model that facilitates human interpretation of models and reduces their ambiguity and complexity. A formal-based standards ontology can be processed automatically by computer programs, providing several benefits such as automatic knowledge discovery and inference, inconsistency detection, and interoperability. Several frameworks have been developed to control the complexity of the enterprise architecture. This paper focuses on the TOGAF framework and precisely on its content metamodel. It analyses and discusses the reported approaches to its formalization using ontologies. Additionally, it proposes some possible future directions to improve this work and enhance its adoption by the industrial world and academic communities.\",\"PeriodicalId\":426665,\"journal\":{\"name\":\"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCV54655.2022.9806063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Intelligent Systems and Computer Vision (ISCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCV54655.2022.9806063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On The Formalization of The TOGAF Content MetaModel Using Ontologies
Ontology, when well designed, provides a semantic model that facilitates human interpretation of models and reduces their ambiguity and complexity. A formal-based standards ontology can be processed automatically by computer programs, providing several benefits such as automatic knowledge discovery and inference, inconsistency detection, and interoperability. Several frameworks have been developed to control the complexity of the enterprise architecture. This paper focuses on the TOGAF framework and precisely on its content metamodel. It analyses and discusses the reported approaches to its formalization using ontologies. Additionally, it proposes some possible future directions to improve this work and enhance its adoption by the industrial world and academic communities.