Bootstrapping-Based Automatic Acquisition of Domain Concepts for Ontology Construction

The domain concept is one of the key elements of ontology. In order to automatically acquire the domain concepts during the domain ontology construction, we proposed a novel Bootstrapping-based automatic acquisition algorithm of domain concepts. In our work, the compound words are extracted according to the combination conditions of the mutual information and the information entropy. The candidate domain concepts determinant conditions based on the co-occurrence sentences frequency are presented. Besides, to avoid omitting the domain concepts with the lower frequency or semantically similar to other domain concepts, the semantic factor is introduced. The experiments results have demonstrated that the compound domain concepts and the semantically similar domain concepts with the lower sentences frequency can also be extracted by using the proposed algorithm. And the proposed algorithm has obtained higher precision and recall, so it is effective and feasible.