Semantic interoperability of large systems through a formal method: Relational Concept Analysis

被引：5
|
作者：
Wajnberg, Mickael [1 ,2 ]
Lezoche, Mario [2 ]
Blondin-Masse, Alexandre [1 ]
Valchev, Petko [1 ]
Panetto, Herve [2 ]
Tyvaert, Louise [2 ]
机构：
[1] Univ Quebec Montreal, Dept Informat, CP 8888, Montreal, PQ H3C 3P8, Canada
[2] Univ Lorraine, CNRS, Res Ctr Automat Control, CRAN UMR 7039, Blvd Aiguillettes,BP 70239, F-54506 Vandoeuvre Les Nancy, France
来源：
IFAC PAPERSONLINE | 2018年 / 51卷 / 11期
关键词：
Semantic Interoperability; Large system; Formal Concept Analysis; Relational Concept Analysis;
D O I：
10.1016/j.ifacol.2018.08.330
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Interoperability 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. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：1397 / 1402
页数：6
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