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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References
Antoine, D., Collin, S., Tombre, K.: Analysis of technical documents: the REDRAW system. In: Baird, H.S., Bunke, H., Yamamoto, K. (eds.) Structured Document Image Analysis, pp. 385–402. Springer, Heidelberg (1992). doi:10.1007/978-3-642-77281-8_18
Futrelle, R.P., Shao, M., Cieslik, C., Grimes, A.E.: Extraction, layout analysis and classification of diagrams in PDF documents. In: ICDAR, vol. 3 (2003)
Kembhavi, A., Salvato, M., Kolve, E., Seo, M., Hajishirzi, H., Farhadi, A.: A diagram is worth a dozen images (2016). arXiv preprint: arXiv:1603.07396
Aimé, X., Charlet, J.: IC: Ingénierie des Connaissances ou Ingénierie du Conformisme? In: 24émes Journées francophones d’Ingénierie des Connaissances (2013)
Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. AI Mag. 17(3), 37 (1996)
Ramos, S., Figueiredo, V., Rodrigues, F., Pinheiro, R., Vale, Z.: Knowledge extraction from medium voltage load diagrams to support the definition of electrical tariffs. Eng. Intell. Syst. Electr. Eng. Commun. 15(3), 143–149 (2007)
Servan-Schreiber, D., Cleeremans, A., McClelland, J.L.: Encoding sequential structure in simple recurrent networks. Technical report, DTIC Document (1989)
Hees, J.: SciPy Hierarchical Clustering and Dendrogram Tutorial, August 2015
Cleeremans, A., McClelland, J.L.: Learning the structure of event sequences. J. Exp. Psychol. Gen. 120(3), 235 (1991)
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Chraibi Kaadoud, I., Rougier, N., Alexandre, F. (2017). Implicit Knowledge Extraction and Structuration from Electrical Diagrams. In: Benferhat, S., Tabia, K., Ali, M. (eds) Advances in Artificial Intelligence: From Theory to Practice. IEA/AIE 2017. Lecture Notes in Computer Science(), vol 10350. Springer, Cham. https://doi.org/10.1007/978-3-319-60042-0_27
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DOI: https://doi.org/10.1007/978-3-319-60042-0_27
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