Arabic-English Automatic Ontology Mapping Based on Machine Readable Dictionary

Abstract

Ontologies are the backbone of the semantic web and allow software agents to interoperate effectively. An ontology is able to represent and to clarify concepts and inter-concept relationships and can be used as a framework to represent underlying domain concepts expressed in many different languages. One way to do this is by mapping Ontologies in different languages using an inter-lingual index. In this paper we present a new methodology for ontology mapping in different script human languages (Arabic/English). We identify the steps of extracting concepts on both ontologies and automatically mapping them based on Machine Readable Dictionary (MRD) and Word Sense Disambiguation (WSD) tools. The paper also discusses a unique tool that automatically extracts unmapped concepts and uses MRD and WSD to match them and create semantic bridges between the ontologies.