基于本體的無人機(jī)產(chǎn)品和技術(shù)信息搜索系統(tǒng)研究

1、南京航空航天大學(xué)碩士學(xué)位論文基于本體的無人機(jī)產(chǎn)品和技術(shù)信息搜索系統(tǒng)研究姓名：周書君申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：管理科學(xué)與工程指導(dǎo)教師：馬靜20090301基于本體的無人機(jī)產(chǎn)品和技術(shù)信息搜索系統(tǒng)研究 iiABSTRACT With the rapid development of Internet, the keyword-based traditional search engine usually can’t meet the user’

2、s demand. To meet the user’s demand and new technology, an ontology-based information search model was presented based on ontology has some advantages on knowledge description and semantic relation, it improves the rate

3、of recall and precision through the text information annotation and semantic expansion of user query items. The thesis firstly introduced the basic theories of ontology and semantic Web, expounded the search engine’s pr

4、oblems it is confronted with and the trend; Then it attempted the research of domain ontology based semantic text information retrieval, Focus on the method of ontology-based text information annotation, and discusses th

5、e method of semantic expansion of user query items. Finally, On the basis of theory analysis, construct the Unmanned Aerial Vehicles domain Ontology, design and developed an experimental semantic retrieval system. The te

6、sting results proved that through the modules of semantic expansion, text information annotation, the system can bring the useful, interrelated and abundant information. It has much higher performance than traditional me

7、thod. The points in this paper: Based on the preliminary research results, construct the Unmanned Aerial Vehicles domain Ontology；Aimed at the weakness of the keyword-based search, an ontology-based information retrieval

8、 model is presented, This paper brings forward a achievement the semantic indexing through a topic extracting method based on domain ontology, a achievement the semantic expansion through matching user query and the topi