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On The Formalization of The TOGAF Content MetaModel Using Ontologies

TitreOn The Formalization of The TOGAF Content MetaModel Using Ontologies
Publication TypeConference Paper
Year of Publication2022
AuthorsB. Idrissi, E, Tetou, C, Doumi, K
Conference Name2022 International Conference on Intelligent Systems and Computer Vision, ISCV 2022
Mots-clésAutomatic knowledge discoveries, enterprise architecture, formalisation, Inconsistency detection, Interpretation of models, Meta model, Ontology, Ontology's, Semantic modelling, Semantic Web, Semantic-Web, Togaf framework
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. © 2022 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85134300854&doi=10.1109%2fISCV54655.2022.9806063&partnerID=40&md5=6066972d0de16301bf7195b5ec177385
DOI10.1109/ISCV54655.2022.9806063
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