Research On Ontology Similar Technology Based On Rough Set Theory

Ontology is originally a philosophical concept, used to describe the essence of things, ontology is a collection of concepts and attributes and relations. Apart from the Semantic Web application to express information, it was also widely used in intelligent information integration, collaboration information systems, information retrieval, e-commerce and knowledge management, and other fields.Areas of Ontology application is more and more, Ontology application is primarily for sharing and reusing knowledge. Since the dispersion of their own body, different users can construct different Ontology. In order to operate different Ontologies, it must solve the problem of heterogeneous between ontologies.we generally used Ontology mapping between heterogeneous ontology to solve the problem. Extraction of Ontology similarity is an important step of Ontology mapping, it is mainly the calculation of similarityThe calculation of Ontology similarity widely used in information retrieval, machine translation, and automatic question answering systems, and other fields, it is a very basis and key issue, it has been on the hot and difficult problem for a long time. Since information source of provider of the ontology is different, the focus is to resolve ontology heterogeneous between the source of data in the process of building shared platform. The difference of Ontology construction include data heterogeneous from the inconsistencies of the data and some explaination of same data, the pattern heterogeneous from the different of the logic organizations of data. The article solves the problem of heterogeneous ontology by the technology of computing Ontology similarity, the difficult issue is that Ontologies have many attribute and complex relationship.This paper studies the Ontological Theory and Rough Set Theory, the focus is the introduction on Rough Set Theory of attribute reduction. Through the research of Rough Set Theory and ontology, we establish programme of Research on Ontology similar technology based on Rough Set Ontology and improve the existing Ontology similarity measurement method based on properties of Ontology, we use a new method to reduce the workload which reduce properties by the use of binary Reduction, and provide RSONSA Algorithm to calculate the Ontology similar. The system construct ontology of the field of tourism by a seven-step method, achieving an experimental prototype of the system. Through the Application of quantitative analysis, we proved the effect of RSONSA algorithm.