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Intelligent Processing And Application Of Ontology-Based Government Web Information Resources

Posted on:2008-07-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:2178360212992922Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Nowadays web is growing amazingly, but the information lacks a uniform semantic description, so it is difficult for computer to understand information on web, and it is increasingly difficult to find, organize, access and maintain the information required by users. The same thing happens in the e-government information resources processing areas.So first the author analyzed the problems of the processing of government information Resources at present, such as low degree of sharing, bad effect of keyword search and lack of intellectualized and humanized support. Ontology-based Semantic Web technology proposed by W3C indicates a way to solve this problem. E-government web applications can represent and understand the information by obtaining the semantic of the words, even though infer from the information based on some roles.And then the paper introduces the related theory and technology of Semantic Web. including the concept, research status, architecture and key technology of Semantic Web, the concept, types, description languages, building and edit tools of Ontology.The paper studies the relevant problems in the process of ontology acquisition, including transforming e-government subject key word into domain ontology, and under the audit of e-government domain expert or ontology administrator, e-government domain ontology can continuously learning new ontology instance.According to traits of Chinese information processing, the paper puts forward a model of e-government semantic information automatic extraction and annotation. The model based on Semantic Web and discusses in detail four important issues: Chinese words automatic segmentation and extraction, semantic annotation.At last the paper studies two model involved in Ontology-based e-government information processing issue: a model of mayor mailbox classified automatic processing system; And then a model of ontology-based government semantic portal is presented to make it easy for users to access the right information which they want.
Keywords/Search Tags:Semantic web, government information Resources, ontology, Instance extraction, semantic annotation
PDF Full Text Request
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