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Research On Domain Ontology Of Industrial Automation Meter And Data Sharing Applictions

Posted on:2010-12-29Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y XueFull Text:PDF
GTID:2178360302958814Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
Along with the rapid development of the computer technology and increasing information requirement, the conventional information organization and retrieval methods based on keywords are not able to meet the need any more. With the same technology Scientific Data Sharing Network in Advanced Manufacturing and Automation (SDSNAMA) is also facing the application problems such as how to organize the resources systematically and scientifically and how to search information intelligently and accurately. Therefore, it is necessary to develop a new way on a subject domain basis for information organization and retrieval.By taking the industrial automation meter section of SDSNAMA as the experimental object and combining theory, technology and experimental system development and verification together, this paper introduces a domain ontology building method based on a spiral model and engineering ideas. An assistant tool for ontology building is developed and an initial construction of domain ontology is completed. On this basis, this paper presents an information retrieval method and technology which based on ontology, and combined with the technologies of pattern match, rule reasoning, and semantic vector, and also effectively probes into the visualization technology on retrieval results. Through the development of the experimental retrieval system, the feasibility of system design idea and method has been verified.This paper introduces a new idea for the solution to question intelligent retrieval in the related specialty fields, also provides a useful reference for more effective and efficient resource sharing and reuse in the process of informatization of manufacturing industry.
Keywords/Search Tags:automation meter, domain ontology, data sharing, information retrieval, graphical
PDF Full Text Request
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