Arabic NLP tools for ontology construction from Arabic text: An overview

Abstract

Natural Language Processing (NLP) is a technique used to extract data in natural language text that is used in many applications. In the last years, NLP techniques have been adapted for ontology construction and population. For example, Part-of-Speech (POS) tagging, filtering, lexical semantics tagging or tagged named entities used to extract concepts and relationships among entities. The effect of the NLP tools on ontology construction from Arabic text is an area of research. However, to the best of our knowledge, there are no comparative studies that show the effectiveness of these preprocessing techniques. The main goal of this paper is to present a brief review for the existing Arabic NLP tools and assess their capabilities on Arabic ontology construction.