Implicit knowledge extraction and structuration from electrical diagrams

Ikram Chraibi Kaadoud 1, 2, 3, 4 Nicolas P. Rougier 2, 3, 4 Frédéric Alexandre 2, 3, 4
2 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
Abstract : The electrical domain, either domestic or industrial, benefits from a huge set of well-defined norms at both the national and international levels. However and surprisingly enough, there is no such norm regarding the actual conception and structuration of electrical diagrams, even though the basic symbols and notations remain the same. Each company is actually free to design such diagram relative to its own experience , expertise and know-how. The difficulty is that such diagrams, which are most of the time materialized as a PDF booklet, do not reflect this implicit knowledge. In this paper, we introduce our work on the extraction and the structuration of such knowledge using ad-hoc graph and text analysis as well as clustering techniques. Starting from a set of raw documents, we propose an end-to-end solution that offers a company dependent structured view, of any electrical diagram.
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Ikram Chraibi Kaadoud, Nicolas P. Rougier, Frédéric Alexandre. Implicit knowledge extraction and structuration from electrical diagrams. The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems, Jun 2017, Arras, France. ⟨hal-01525028⟩

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