Automatic Evaluation of the Computing Domain Ontology

Ontology plays an important role in the recent years. Its applications now are more popular and variety. Ontologies are used in the different areas related to Information Technology, Biology, and Medicine, especially in Information Retrieval, Information Extraction, and Question Answering. Ontologies capture background knowledge by providing relevant terms and the formal relations between them, so that they can be used in a machine-processable way. Depending on the different applications, the structure of ontologies has been built and designed with different models. Good ontologies lead directly to a higher degree of reuse and a better cooperation over the boundaries of applications and domains. However, there are a number of challenges that must be faced when evaluating ontologies. In this paper, we propose a novel approach based on data-driven and information extraction system for evaluating the lexicon/vocabulary and consistency of a domain specific ontology. Furthermore, we evaluate the ontological structure and the relations of some terms of the ontology.