Title: Arabic language and knowledge reduction in formal contexts

Authors: Issam Sahmoudi

Addresses: Laboratory of Engineering, Systems and Applications, National School of Applied Sciences, Fez, Morocco

Abstract: Formal concept analysis (FCA) is a mathematical tool that offers the conceptual data for knowledge representation, extraction and analysis with applications in the different areas. One of the main problems of FCA is the computational cost due to the large number of formal concepts generated. The objective of this paper is to address this problem by reducing the knowledge in formal contexts, we propose to use a linguistic approach, and we apply this latter for Arabic language. Objective performance evaluations are conducted to assess the efficiency of our proposed method.

Keywords: formal concept analysis; FCA; formal contexts; knowledge reduction.

DOI: 10.1504/IJCSM.2019.097643

International Journal of Computing Science and Mathematics, 2019 Vol.10 No.1, pp.71 - 82

Accepted: 21 Aug 2017
Published online: 30 Jan 2019 *

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