Research on Domain Ontology Automation Construction Based on Chinese Texts

Abstract

The main construction method of the current ontology is to rely on ontology experts for manual construction. Because manual construction requires a lot of manual participation, manual construction has great limitations. Text data as one of the main forms of data source, how to construct domain ontology automatically from texts and how to provide semantic retrieval support to text quickly by ontology is the hotspot of ontology research at present. Aiming at the above problems, an automatic construction method of domain ontology based on knowledge graph and association rule mining is presented, and it can extract the concepts, hierarchies and non-hierarchies of domain ontology from text, and finally form ontology by Jena. It also provides semantic retrieval of text by associating text and concepts in the process of ontology construction. Finally, the effect of automatic ontology construction is verified by the effect of text retrieval.