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The Design And Implementation Of The Chinese Information Retrieval System Of Digital Science And Technology Museum

Posted on:2008-11-13Degree:MasterType:Thesis
Country:ChinaCandidate:R WangFull Text:PDF
GTID:2178360242473261Subject:Computer technology
Abstract/Summary:PDF Full Text Request
As human society entered the 21st century, the science and technology alter from day to day , the knowledge economy initial clues, social workers on a higher demand. Quality education and life-long education in the community in the future become an essential survival, and embody the characteristic being to popular, to life-long-rization and individuation. This requires education to provide provides big coverage, multi-mode, all-direction service right away , ensures that anybody , any time, accepts required education , gains required knowledge in any place. Along with the network technology development, the network education has provided one kind of very good solution for the above demand, is becoming the school and the publice ducation important pattern.The science and technology museum educates as the base for the education of young people, charged with the popularization of scientific knowledge, and taked the young education mission. However, due to geographical, funds, facilities and conditions for various reasons, the role of science subject to a certain restriction. Therefore, based the existing science and technology museum' s resources, using network technology, establishes the digital science and technology museum, developmenting on-line exhibits and other multi-media content, constructing face the entire society' s on-line science and technology museum, provides the convenience quick network education service, that is imperative.The digital science and technology museum as an important net work popular science platform, provides to retrieval function to information is essential. Currently, the average number of systems technology at most larger sites, provide only simple inquiries, inquiries and fuzzy combination for such an operation, little has been provided to other sites related to the unification of the knowledge retrieval. Users need to express their demands for a key word into a computer system, the computer acts according to these essential characters to be able easily to carry on the search operation in the database.Therefore, this article binds Shandong science and technology museum to research and develop " Shandong science and technology digital museum" the system demands, mainly using search engine, natural language inquiry, abstract production and so on, the key research develops face the digital science and technology museum Chinese information retrieval sub system. Through this system, the people can use natural language, facilitate accurately gain in the digital science and technology museum the popular science information, simultaneously is fast the information in the chaotic network world which accurately obtains need.Broadly speaking, in the view of the digital science and technology museum demand and characteristic, this article has mainly done the following work:1) Research designed for the digital science and technology museum of Chinese information retrieval subsystem overhead construction.2) Design and implementation the technology for the digital science and technology museum limited natural language understanding and database query sub-module give the limited demand for science and technology museum of Chinese the grammar and rule, define the related data dictionary.3) Use the search engine, the automatic abstract production technology, the design realizes has inter locked the net information to inquire the sub- module, might fast accurately search the related information in the network, and produced the information the abstract.Certainly, this system retrieval information at present only contains dinosaur's related knowledge, in later hoped expands to many aspects. System itself still existed has the imperfect place, such as limited the natural language is a discrepancy, searching result accurate and so on, will be the next step in the direction of work.
Keywords/Search Tags:information retrieval, natural language inquiry, search engine, automatic abstract
PDF Full Text Request
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