|本期目录/Table of Contents|

[1]巩 皓,杜军平*,赖金财,等. 基于本体和局部查询反馈的微博查询扩展算法[J].南京大学学报(自然科学),2017,53(6):1004.[doi:10.13232/j.cnki.jnju.2017.06.002]
 Gong Hao,Du Junping*,Lai Jincai,et al. Microblog query expansion algorithm based on ontology and local query feedback[J].Journal of Nanjing University(Natural Sciences),2017,53(6):1004.[doi:10.13232/j.cnki.jnju.2017.06.002]
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 基于本体和局部查询反馈的微博查询扩展算法()
     

《南京大学学报(自然科学)》[ISSN:0469-5097/CN:32-1169/N]

卷:
53
期数:
2017年第6期
页码:
1004
栏目:
出版日期:
2017-12-01

文章信息/Info

Title:
 Microblog query expansion algorithm based on ontology and local query feedback
作者:
 巩 皓1杜军平1*赖金财1梁美玉1王 巍2罗 盎2
1.北京邮电大学计算机学院智能通信软件与多媒体北京市重点实验室,北京,100876;
2.新浪网技术(中国)有限公司,北京,100193
Author(s):
 Gong Hao1Du Junping1*Lai Jincai1Liang Meiyu1Wang Wei2Luo Ang2
1.Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia,School of Computer Science,Beijing University of Posts and Telecommunications,Beijing,100876,China;
2.SINA Corporation,Beijing,100193,China
关键词:
 本 体微 博共现分析查询扩展
Keywords:
 ontologymicroblogco-occurrence analysisquery expansion
分类号:
TP391.3
DOI:
10.13232/j.cnki.jnju.2017.06.002
文献标志码:
A
摘要:
 传统的基于关键词匹配的查询方法因查询词短少,微博博文短小,容易引起歧义性,对查询效率有较大影响.提出一种基于本体和局部查询反馈的微博查询扩展算法,首先结合安全领域文档构建安全领域本体知识库,然后利用本体提供的语义知识对初始查询词进行扩展,再结合局部查询反馈对候选扩展词集进行筛选,最后通过二次查询和迭代操作得到最终查询结果.实验结果表明,基于本体和局部查询反馈的微博查询扩展算法比基于关键词的查询扩展算法、基于本体的查询扩展算法和基于“伪相关反馈”的查询扩展算法有更好的查全率和查准率.
Abstract:
 The purpose of this work is to measure the efficiency of information retrieval(IR)in microblog by using query expansion based on ontology and local query feedback.Firstly,ontology knowledge base of security domain is created by security domain documents.Then,the ontology is expended by using the security domain terminology extracted from microblog documents.Thus,the expended ontology consists two broad categories,six subclasses and more than fifty concepts.Secondly,the query word is expended by the semantic knowledge provided by the expanded ontology.And the Lucence search engine is used for initial retrieval.By calculating microblog heat and time correlation,local microblog documents are got to filter the expansion words.Finally,combining the weight of each candidate expansion word in ontology query expansion and local query feedback co-occurrence analysis,the filter function is created to select the final expansion words.The final results are got by iterative operation and secondary retrieval.In order to check the accuracy of the microblog query expansion algorithm based on ontology and local query feedback(OFQE),keywords query expansion algorithm(KQE),ontology query expansion algorithm(OQE)and pseudo relevance feedback query expansion algorithm(PRFQE)are used to compare the efficiency of microblog information retrieval.Multiple query words and their combinations are used for retrieval.The experimental results are the average scores of top N results by multiple times search,which show that OFQE has better recall rate and precision rate than KQE,OQE and PRFQE.

参考文献/References:

 

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备注/Memo

备注/Memo:
 基金项目:国家自然科学基金(61532006,61320106006,61502042),北京市财政项目(PXM2017_178214_000005)
收稿日期:2017-09-15
*通讯联系人,E-mail:junpingdu@126.com
更新日期/Last Update: 2017-11-26