Abstract
Although Arabic is the language of over two hundred million speakers, little has been achieved in regards to computational Arabic resources, especially lexicons. Most of what has been developed was originally tailored for Roman languages, and is not necessarily satisfactory for the Arabic community. In this research, we propose a computational model for representing Arabic lexicons using ontologies. Ontologies are knowledge representation structures which form the central building block of the Semantic Web. The model is based on the field theory of semantics from the linguistics domain, and the data which drives the design of the model is obtained from the most accurate text that presents superiority and perfection of the Arabic language, the Holy Quran. Creating such lexicons will be invaluable in a number of Arabic applications. This paper presents the design and implementation of the proposed ontological model. Results of its application on "Time nouns" vocabulary of the Holy Quran are presented.