The Research On Intelligent Retrieval Of Large-scale Data Resource Based On Ontology

With the development of the Internet, resource sharing is increasing greatly. It is an urgent problem to solve in date sharing that how to manage these resources systematically and scientifically, and find the needed content accurately and quickly from the flood of information after correct understanding of the customers' requirements.As we knows, in the information exchange by two persons, the views on the same issue differ a lot due to different depth of understanding and different focus on the problem, but the communication will not be affected because of the support of public knowledge. One side is able to share the other's expertise, and vice versa. At present the exchanges between computers and human is far to reach this level. Because it lack the clear public knowledge support mechanisms which can be processed by computers, that reduce the information and data sharing efficiency between human and the computer.To resolve these problems, domestic and foreign institutions and experts have started to look Ontology-based intelligent agent and the retrieval and knowledge management system with the purpose of overcoming the existing search engine and information management deficiencies. As a body in the semantics and knowledge level description of the conceptual model of information system modeling tools, in the field of information retrieval has been used widely. Through the establishment of the area of the body, including in the field as much as possible the complete knowledge. In the area of the body, with the support of more than justice to a large extent solve the problem of words such as semantic.This paper focuses on theoretical research of the ontology construction and the intelligent information retrieval based on domain ontology. The main innovations are as follows:(1)Construct the domain ontology model . This study bases on the data resource integrated with instrumentation and detection technology of advanced manufacturing and automation scientific data sharing network, and establish an ontology model whose main bodies are data providers, data content and data applications, which offers the foundation work for data analysis and knowledge reasoning on above layers.(2)Develop a corresponding data management system. This paper analyzes the current data resources targeting metadata format of sharing project. And with JAVA programming, we design and construct of an intelligent retrieval system based on ontology. Effective reducing the user retrieval miss rate and error seized.