| 基于Ontology的语义查询分析研究 |
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| 引用本文： | 郑世明,任在安,宋自林,邵荣明,戴荣荣,潘明聪.基于Ontology的语义查询分析研究[J].南京师范大学学报,2008,8(4):63-67. |
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| 作者姓名： | 郑世明 任在安 宋自林 邵荣明 戴荣荣 潘明聪 |
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| 作者单位： | [1]解放军理工大学指挥自动化学院,江苏南京210007 [2]解放军炮兵学院南京分院侦察教研室,江苏南京211132 [3]解放军沈阳炮兵学院海防侦察与射击教研室,辽宁沈阳110162 [4]解放军73666部队炮瞄教研室,江苏南京211132 [5]南京陆军指挥学院作战实验中心,江苏南京210045 |
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| 摘 要： | 目前的搜索引擎普遍存在着查全率和查准率不高的问题,任何一个简单的查询都可能返回数以万计的检索结果,而其中只有很少一部分与用户真正的检索要求有关,对查询的处理是基于本体（Ontology）的语义检索最重要的部分.针对现有查询分析方法的不足,提出了一种基于Ontology的综合词义关系和语义关联分析的查询分析算法,给出了基于本体映射的语义相似度算法,通过对用户输入关键字词义特性和本体实例之间语义关联强弱的分析,提高了用户输入关键字到本体概念映射的完整性和准确率,保证了用户查询和检索语言在语义上的一致性,提升了查询的满意度.
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| 关 键 词： | 本体 查询分析 语义 信息检索 |
Research on the Analysis of Semantic Queries Based on Ontology |
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| Zheng Shiming,Ren Zaian,Song Zilin,Shao Rongming,Dai Rongrong,Pan Mingcong.Research on the Analysis of Semantic Queries Based on Ontology[J].Journal of Nanjing Nor Univ: Eng and Technol,2008,8(4):63-67. |
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| Authors: | Zheng Shiming Ren Zaian Song Zilin Shao Rongming Dai Rongrong Pan Mingcong |
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| Affiliation: | Zheng Shiming1,Ren Zaian2,Song Zilin1,Shao Rongming3,Dai Rongrong4,Pan Mingcong5(1.Institute of Comm, Automation,PLA University of Science , Technology,Nanjing 211007,China,2.Reconnaissance Staff Room,Nanjing Artillery Academy of the PLA,Nanjing 211132,China3.Coast Defense Reconnaissance , Fire Staff Room,Shenyang Artillery Academy of the PLA,Shenyang 110162,China4.Artillery Collimation Staff Room,73666 Troop of the PLA,China5.Combat Experimental Center,Nanjing Army Comm, College of t... |
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| Abstract: | Now search engines generally have the problem of lower recall and precision.Any simple query may return thousands of results for retrieval,but few of results relate with the genuine requirement for the users.It is the most part of semantic retrieval based on ontology to deal with the queries.Aiming at the shortage for existing methods in analysis of query,this paper presents an arithmetic with analysis of query which integrates the acceptation relation and semantic correlative analysis,proposes an arithmeti... |
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| Keywords: | ontology analysis of query semantic information retrieval |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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