Arabic language and knowledge reduction in formal contexts

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.