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分面检索模型与关键技术综述 被引量：3

Model and Technique of Facet Search: An Overview
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摘要 从分面检索的基本概念与特点出发,对基于集合论、基于轻量级本体、基于形式概念分析的三类分面模型进行分析归纳,对分面分类体系生成、分面排序及搜索结果排序等关键技术的主要研究工作进行综述,并对有代表性分面检索系统进行说明。 This paper introduces the basic concepts and characteristics of the faceted search,and then presents a comparative analysis of three kinds of facet models,i.e.set theory-based,FCA-based,and lightweight ontology-based.Next,this paper proposes a general framework for faceted search,and surveys some related methods and techniques,including faceted taxonomy construction,results refinement and ranking.Finally,the paper conducts a study on the existing typical faceted search systems.
作者 高建忠 何绯娟
机构地区 西安交通大学图书馆
出处 《图书馆论坛》 CSSCI 北大核心 2012年第6期112-116,共5页 Library Tribune
关键词 分面 分面检索 分面模型 分面术语 facet faceted search faceted model facted terms
分类号 G254.1 [文化科学—图书馆学]
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参考文献23

  • 1A Kashyap, V. Hristiclis, M Petropoulos. FACeTOR: Cost-Driven Exploration of Faceted Query Results [C]. in ACM Conference on Information and Knowl- edge Management (CIKM), Toronto, Ontario, Can- ada, 2010.
  • 2K. Chakrabarti, S. Chaudhuri, S. -w. Hwang. Auto- matic categorization of query results [C]. in Proceed- ings of the 2004 ACM SIGMOD international confer- ence on Management of data, Paris, France, 2004: 755-766.
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  • 5G. M. Sacco., Dynamic taxonomies., a model for large information bases [J], IEEE Transactions on Knowl- edge and Data Engineering, 2000, 12 (3): 468-479.
  • 6G. M. Sacco, Y. Tzitzikas. Dynamic taxonomies and faceted search., theory, practice, and experience [M], 1st ed. New York: Springer, 2009.
  • 7D. Bonino, F. Corno, L. Farinetti. FaSet: A Set Theory Model for Faceted Search [C]. in Proceed- ings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology-Volume 01, 2009: 474-481.
  • 8C. Li, N. Yan, S.B. Roy, et al. Facetedpedia: dy- namic generation of query-dependent faceted interfaces for wikipedia [C]. in Proceedings of the 19th interna- tional conference on World wide web, Raleigh, North Carolina, USA, 2010: 651-660.
  • 9U. Priss. Description Logic and Faceted Knowledge Representation [C]. in Proceedings of the 1999 In- ternational Workshop on Description Logics (DL'99), Link? ping, Sweden, 1999.
  • 10F. Giunchiglia, t~ Dutta, V. Maltese. Faceted Lightweight Ontologies, Conceptual Modeling: Foundations and Applications, Lecture Notes in Computer Science A. Borgida, V. Chaudhri, P. Giorgini et al. , eds [M]. Springer Berlin/Heidelberg, 2009: 36-51.

共引文献1

同被引文献34

  • 1HJbRLAND B. Facet, facet analysis and the facet-analytic para- digm in knowledge organization (KO) [ EB/OL]. http: //www. db. dk/bh/facet and facet_analysis, htm.
  • 2SPITERi I A simplified model for facet analysis [ J ]. Canadian Journal of Information and Library Science, 1998, 23 : 1-30.
  • 3JONATHAN K, ZHANG Yi, LIU Xue. Personalized interactive faceted search. [ C ]. IEEE 26th International Conference, Beijing, 2008.
  • 4OCLC news releases, OCLC announces strategy to move library management services to Web scale [EB/OL]. [2012-03-15]. http: //www. oclc. org/us/en/news/releases/200927, htm.
  • 5陈波.基于开源全文检索系统Solr的OPAC分面浏览[J].现代图书情报技术,2007(11):72-75. 被引量：14
  • 6邵艳.网络环境下海洋院校图书馆海洋科学知识服务体系模式研究[J].浙江海洋学院学报（人文科学版）,2007,24(3):133-135. 被引量：2
  • 7Hai Zhuge, Wilks Y. Faceted search, social networkingand interactive semantics[ J]. World Wide Web, 2014,17 (4) :589-593.
  • 8Kashyap A, Hristidis V, Petropoulos M. FACeTOR: Cost- driven exploration of faeeted query results [ C ]// Confer- enee on Information and Knowledge Management, CIKM. 2010:1-12.
  • 9Hearst M A. Clustering versus faceted categories for infor- mation exploration [ J ]. Communications of the ACM, 2006,49 ( 4 ) : 59-61.
  • 10Daniel Tunkelang. Faceted Sem'ch: Synthesis Lectures on In- formation Concepts, Retrieval, and Services [ M ]. Morgan & Claypool Publishers Series, 2009:47-51.

引证文献3

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图书馆论坛
2012年 第6期

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