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Research on Ontology-based Semantic Retrieval System Logic Model
Author: ZhangZuo
Tutor: XuBaoXiang
School: Jilin University
Course: Information Science
Keywords: Noumenon Semantic Web Semantic Search System logic model
CLC: G354
Type: Master's thesis
Year: 2010
Downloads: 177
Quote: 1
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Abstract
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The Web has become important channel for people to obtain information . Quickly and efficiently retrieve the required information from the flood of information is very difficult , mainly due to the defects on the Web information organization the disorder and retrieval Keywords literally match . Therefore, how to improve the quality of Web information retrieval become important research topic in the research field of information retrieval and knowledge management . To improve the quality of Web information retrieval is necessary to make information on the Web ordering , so that the computer can understand the information on the Web , and the effective specification the user's search request , semantic retrieval . Information on the Semantic Web is to give a good definition , so that the machine can understand their pages , and therefore provides the technical foundation for the realization of the semantic retrieval . In addition , the ontology and natural language understanding technology also provides the technical foundation for the realization of the semantic retrieval . Ontology technology is the key to that body building , body building is the most important , ontology building method based on formal concept analysis , followed by an analysis of the function of each module and its process -based of ontology semantic retrieval system Finally, build a logical model of the semantic retrieval system . Finally, use a simple example to verify the feasibility of this model , the first use of formal concept analysis to build the field of the body of an animal , and then the body of the \, and finally be retrieved , in order to verify the feasibility of this model .
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CLC: > Culture, science,education, sports > Science,scientific research > Information science, intelligence > Information Retrieval
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