文章基本信息

标题：An original Data, Information and Knowledge management approach for model-based engineering projects
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作者：M. El Alaoui ; S. Rabah ; V. Chapurlat 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：10
页码：3262-3267
DOI：10.1016/j.ifacol.2022.10.135
语种：English
出版社：Elsevier
摘要：Data, Information and Knowledge (DIK) problematics are of undeniable growing actuality; many efforts were made to explore and make progress in this domain. Therefore, these DIK have been defined by several characteristics conventionally studied such as volume, variety, variability… and a few solutions have been uncovered and revealed. In parallel, the systems Engineering (SE) and specifically Model-Based Systems Engineering (MBSE) approaches, that encourage, among other things, the use of models instead of documents in critical infrastructure engineering namely in the energy infrastructure domain, participate in the growing volume and complexity of DIK. In this particular context, it is important to enrich MBSE by adapting the existing DIK advances to the MBSE needs, which is initiated in this paper, first by providing DIK definition, second, by checking what are the main issues that shall be solved in order to help stakeholders use and manage them in large MBSE-driven projects, involving various business actors during more or less long periods. At last, this article proposes a methodological contribution bridging the supposed gap between MBSE and so-called data management fields of research.
关键词：System Engineering;Model Based System Engineering (MBSE);Knowledge management;SE Ontology;Large engineering projects;data;information;knowledge;model