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  • 标题:Semantic interoperability of large systems through a formal method: Relational Concept Analysis
  • 本地全文:下载
  • 作者:Mickaël Wajnberg ; Mario Lezoche ; Alexandre Blondin-Massé
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:11
  • 页码:1397-1402
  • DOI:10.1016/j.ifacol.2018.08.330
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractInteroperability is a major stake for industry, and in general for all the systems, of any dimension, that need to share contents in every shape. It provides that the exchanges between different parts of different entities perform in a perfect way. Various problems could arise and let the interoperation difficult or impossible. One of those problems could be the presence of implicit knowledge in the systems models. This kind of problems can be faced through knowledge formalisation strategies.The Formal Concept Analysis (FCA) is a mathematical tool to represent the information in a structured and complete way. In this scientific work, we present an extension of the FCA, the Relational Concept Analysis, to reveal tacit knowledge hidden in multi contexts systems.
  • 关键词:KeywordsSemantic InteroperabilityLarge systemFormal Concept AnalysisRelational Concept Analysis
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