基于本體的校園地圖智能檢索系統(tǒng)的研究.pdf

1、分類號：TP391 密級：不保密 UDC： 004 學(xué)校代碼：11065 基于本體的校園地圖智能檢索系統(tǒng)的研究 基于本體的校園地圖智能檢索系統(tǒng)的研究 張志鵬 指 導(dǎo) 教 師 馬金平教授 學(xué)科專業(yè)名稱 管理科學(xué)與工程 論文答辯日期

2、2015.5.31 Abstract 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 pro

3、vided 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

4、. 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 i

5、nherit 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 shar

6、ing 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 bu

7、ilds 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

8、 by WordNet 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 sh

9、ow 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 rel

10、ated 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 comprehen

11、siveness when they use the campus map to retrieve information, so that they can more quickly find the related physical location and geographic information. Keywords:Ontology； OWL language； Semantic Annotation； WordNet Al