Research In Thesaurus-based Ontology Building Method

Ontology building methods can be divided into two types: one is a manual construction method based on experts; the other is an automatic construction method based on machine learning. The first one is a manual-work approach. In this way, semantic of the ontology depends on the builder's personal knowledge, so it just plays a role of mitigation to the bottleneck of knowledge. The second one is to obtain the knowledge automatically from the mass information by machine-learning approach. It is a fundamental solution to the bottleneck of knowledge in building Ontology. Nowadays, though more and more organizations do research on Ontology building, low-level automation, experts-dependency and other issues are still unresolved. Particularly in the research of Ontology building in Chinese, the research of Chinese Ontology building is not enough.Therefore, based on the researching in the current Ontology building and learning methods, this paper focus on the following aspects:1. Bring forward thesaurus-based Ontology automated building system model. This model combines the thesaurus conversion and relations learning technique. It inherent the advantages of thesaurus to make the concept and category relations more exact, then use relations learning technique to extract the non-category relations from document resources, in order to complete the semantic information of the relations between concepts.2. Design and develop thesaurus-based ontology automated building system. This system includes thesaurus-conversion module and relation-learning module. In the first module, a set of thesaurus-conversion rules are present as a basis to achieve the conversion of thesaurus to initial Ontology. The second module makes association rule mining as its guidance, uses Chinese natural language processing technique to get the relations from document resources, and add these relations into initial ontology.3. Evaluate the Ontology which is built by thesaurus-based ontology automated building system in terms of scalability, reusability and reference degree.These researches provide a valuable reference to Chinese Ontology building, as well as make a positive effect to Ontology-based application.