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Research On Ontology - Based Campus Map Intelligent Retrieval System

Posted on:2016-03-01Degree:MasterType:Thesis
Country:ChinaCandidate:Z P ZhangFull Text:PDF
GTID:2208330479492006Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the explosive growth of network information, the traditional information retrieval technology has been unable to meet the people’s needs, and the technology of ontology as the semantic web has provided an effective way to solve this problem. The ontology is a new modeling tool which is accompanied with subject of artificial intelligence, knowledge engineering, computer information intelligent and so on developing. It is known as the conceptual model that is described by the knowledge level and semantic level information. In the campus map areas, if we combine the ontology and traditional information technology, it can not only inherit the advantages of traditional information retrieval, but also solve the problem of limitations of traditional information retrieval in conceptual relations, and provide a unified model for the integration and sharing of multi data source information. According to the current domestic and foreign research status of the campus map retrieval, thesisproposes the campus map intelligent retrieval model based on ontology, designs and builds the campus domain ontology, uses the OWL language to change the ontology into the computer understandable language, and makes semantic annotation for campus map, then intelligently matches the user input information by Word Net semantic similarity algorithm, and optimizes the process of information query by combining with the query expansion algorithm, finally completes the development of the system by Java language.The results show the campus map intelligent retrieval system based on ontology can perfectly solve the semantic problem of user input information and make information search on ontology. Meanwhile, the results can be showed in the related areas in the map. All of this improve the information recall and precision for user. Through the study of the campus map intelligent retrieval system, to a certain extent, user can improve the accuracy and comprehensiveness when they use the campus map to retrieve information, so that they can more quickly find the related physical location and geographic information.
Keywords/Search Tags:Ontology, OWL language, Semantic Annotation, WordNet Algorithm, Campus Map
PDF Full Text Request
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