Research On The Construction Of National Film Knowledge Base Based On Ontology

Twelfth Five-Year Plan should point out to the grassroots as an object, service and demand for traction, vigorously carry forward the traditional culture of construction, people’s livelihood and public figures concerned with culture and cultural resources. Respond to national call there are already a number of national minorities movie site set up, but because of the existence of ethnic diversity and cultural knowledge, dispersion, closed group features, making these films are mostly minority presence in minority areas or local government website among the forum, and is currently movie site Search capability is not strong, most of them are based on keyword matching search, retrieval capability is weak, unable to better provide for the needs of the user, so that the film can not be effectively national culture promotion, it is difficult into the public eye.To solve this problem, this article first ontology technology into the field of national cinema, built a national cinema ontologies.Firstly, introduce domestic and foreign research situation, describes the theory ontology concepts, classification and description language, lay a good theoretical basis for follow-up. Then, learn to build ontology library research to ontology terms for knowledge representation and sharing relevant information to organize minority film, and a description of the ontology classes and attributes; comparing the existing body of research by building tools ultimately choose to use protégé software; by building on the existing body of comparative analysis method, pointed ontology construction process of the problems, the final choice of learning software engineering methods, and detailed discussion of the design and construction process of the body; performed using Racer Pro logic test; learn Beijing University of Aeronautics and Astronautics ontology evaluation of a research group to complete theoretical system of evaluation of the work of the body. Finally, the existing similarity algorithm research, an improved weighted semantic tree similarity algorithm has the advantage obtained by experimental contrast than conventional methods; semantic retrieval module design and initial implementation to validate ontology library logical completeness and maturity.