[1]郑世明,任在安,宋自林,等.基于Ontology的语义查询分析研究[J].南京师范大学学报(工程技术版),2008,08(04):063-67.
　Zheng Shiming,Ren Zaian,Song Zilin,et al.Research on the Analysis of Semantic Queries Based on Ontology[J].Journal of Nanjing Normal University(Engineering and Technology),2008,08(04):063-67.
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基于Ontology的语义查询分析研究
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南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
08卷
期数:
2008年04期
页码:
063-67
栏目:
出版日期:
2008-12-30

文章信息/Info

Title:
Research on the Analysis of Semantic Queries Based on Ontology
作者:
郑世明1;  任在安2;  宋自林1;  邵荣明3;  戴荣荣4;  潘明聪5
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
Author(s):
Zheng Shiming1; Ren Zaian2; Song Zilin1; Shao Rongming3; Dai Rongrong4; Pan Mingcong5
1.Institute of Command Automation,PLA University of Science and Technology,Nanjing 211007,China;2.Reconnaissance Staff Room,Nanjing Artillery Academy of the PLA,Nanjing 211132,China3.Coast Defense Reconnaissance and Fire Staff Room,Shenyang Artillery Acad
关键词:
本体;  查询分析;  语义;  信息检索
Keywords:
onto logy;  analysis o f query;  sem antic;  in fo rm ation retr ieva l
分类号:
TP391.3
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.
Abstract:
Now search eng ines generally have the problem o f lower reca ll and prec is ion. Any sim ple query m ay return thousands o f resu lts fo r retrieva ,l but few o f resu lts re la tew ith the genuine requirem ent fo r the users. It is them ost part o f sem antic retrieval based on onto logy to dea lw ith the quer ies. A im ing at the shortage for ex isting m ethods in ana lysis o f query, this paper presents an a rithm eticw ith analysis of que ry which integrates the acceptation re lation and semantic corre lative analysis, proposes an arithm etic based on calcu lation o f s im ila rity, ana ly ses the acceptation charac teristic o f keyw ords and the acceptation co rre lative intensity be tw een ontology instances that users input into the sy stem, im proves the reca ll and prec is ion o f them app ing from keyw ords inputted by users to onto logy concept, ensures the sem antic coherence betw een query and retrieval language, and promo tes the satisfaction for que ry ing.

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相似文献/References:

[1]纪兆辉.本体的推理研究[J].南京师范大学学报(工程技术版),2012,12(03):054.
　Ji Zhaohui.Research on Ontology Based Inference[J].Journal of Nanjing Normal University(Engineering and Technology),2012,12(04):054.

备注/Memo

备注/Memo:
通讯联系人: 郑世明, 博士研究生, 研究方向: 数据挖掘、语义检索. E-m ail:zhengsh im ingnan jing@ 126. com
更新日期/Last Update: 2013-04-24