Arabic language and knowledge reduction in formal contexts
by Issam Sahmoudi
International Journal of Computing Science and Mathematics (IJCSM), Vol. 10, No. 1, 2019

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.

Online publication date: Wed, 30-Jan-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computing Science and Mathematics (IJCSM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com