Abstract
Information Retrieval (IR) involves several disciplines to improve the search quality. In this paper, we focus on terminology extraction which includes critical tasks especially for highly ambiguous languages like Arabic. Properly retrieving a list of relevant terms for a given domain and enrich it is a persistent problem. Therefore, and in order to improve the coverage of terminology extraction and enrichment, we must strengthen our research by text-mining technologies based on well-founded methods. In this article, we present a new Arabic terminology extraction and enrichment approach which exploits the corpus structure as a first step to extract a minimal terminology and uses text-mining techniques to enrich it in a second step.