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基于分面主题图探索式搜索研究 被引量:2

Research on the Facet-based Exploratory Search in Topic Maps
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摘要 用比TMDM更丰富的语义发现技术和现有研究方法,从信息查询动机、分面选择、原型结构、主题图探索等角度,对基于分面主题图探索式搜索分析。评价自动选择分面导航点,论证如何整合基于分面主题图探索式搜索功能,探讨用户如何在缺乏专业知识领域采用探索式搜索实现查询信息的目的。 Adopting the found technology and the existing research method richer than TMDM semantic,this paper explores and analyses the facet-based exploratory search in topic maps from the angle of the information query motivation,the facet selection,the prototype structure,exploratory search in topic maps etc.and evaluates the automatic selection facet navigation points,and proves how to integrate the function of the facet-based exploratory search in topic maps.The paper also discusses how the user makes an exploratory search in the lack of professional knowledge field to achieve the purpose of the queried information.
作者 赵金海
机构地区 聊城大学图书馆
出处 《情报杂志》 CSSCI 北大核心 2012年第1期175-179,共5页 Journal of Intelligence
关键词 主题图 知识管理 知识导航 基于分面探索式搜索 topic maps knowledge management knowledge navigation facet-based exploratory search
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参考文献11

  • 1White R W, Marchionini G, Muresan G. Evaluating Exploratory SearchSystems [ J ]. Information Processing & Management, 2008 (2) : 433 - 43.
  • 2Delbru R. Manipulation and Exploration of Se- mantic Web Knowledge [ R ]. Internship Report DERI and EPITA France,2006.
  • 3Garshol L M. The Linear Topic Map Notation : Definition and Introduction[ R]. version 1.3 , 2006.
  • 4Dichev C,et al. Translation between RDF and Topic Maps: Divide and Translate[ A]. Proc. Balisage: The Markup Conference,2008.
  • 5Oren E, Delbru R, Decker S. Extending Faceted Navigation for RDF data[ A ]. Proc. 5th International Semantic Web Conference (ISWC). Springer Lecture Notes in Computer Science (LNCS) 4273,2006 : 559 - 572.
  • 6Ueberall M, Drobnik O. On Topic Map Templates and Tracea- bility[ A]. Proc. 2nd Intemati0nal Workshop on Topic Maps Research and Applications (TMRA). Springer Lecture Notes in Artificial Intelligence (LNAI) 4438,2006: 8-19.
  • 7Xu R, Wunsch 1I D. Survey of Clustering Algorithms[ J]. IEEE Transactions on Neural Networks ,2005 (3) : 645 - 678.
  • 8W3C Working Group Note. A Survey of RDF/Topic Maps In- teroperability Proposals ( 2006 ) [ DB ]. [ 2011-03-26 ]. http :// www. w3. org/TR/2006/NOTE-rdftm-survey-20060210.
  • 9Hildebrand M, van Ossenbroggen, J. and Hardman, L. A Brow- ser for Heterogeneous Semantic Web Repositories[ A]. Proc. 5th International Semantic Web Conference (ISWC). Springer Lec- ture Notes in Computer Science (LNCS) 4273,2006:272 - 285.
  • 10Hearst M. Clustering Versus Faceted Categories for Information Exploration[ J ]. Communications of the ACM, 2006 ( 4 ) : 59 - 61.

同被引文献19

  • 1罗式胜.篇名关键词链特征的统计分析及应用[J].中国图书馆学报,1995,21(1):27-29. 被引量:13
  • 2谢彩霞,梁立明,王文辉.我国纳米科技论文关键词共现分析[J].情报杂志,2005,24(3):69-73. 被引量:83
  • 3何娟,高志强,陆青健,瞿裕忠.基于词汇相似度的元素级本体匹配[J].计算机工程,2006,32(16):185-187. 被引量:25
  • 4Priss U. Faceted Information Representation [ C ]. In : Proceedings of the Sth International Conference on Conceptual Structures. Ger- many : Shaker Verlag Aachen, 2000 : 84 - 94.
  • 5Kashyap A, Hristidis V, Pctropoulos M, et al. Effective Navigation of Query Results Based on Concept Hierarchies [J]. IEEE Trans- actions on Knowledge and Data Engineering, 2011, 23(4) :540 - 553.
  • 6Ling X, Mei Q Z, Zhai C X, et al. Mining Multi - faceted Over- views of Arbitrary Topics in a Text Collection [ C ]. In : Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining ( KDD' 08 ). New York : ACM Press, 2008:497 - 505.
  • 7Krohn U, Davies N J, Weeks R. Concept Lattices for Knowledge Management [J]. BT Technology Journal, 1999,17(4) : 108 - 116.
  • 8Koren J, Zhang Y, Liu X. Personalized Interactive Faceted Search [ C]. In:Proceedings of the 17th International Conference on World Wide Web(WWW'0$). New York:ACM Press, 2008:477 -486.
  • 9Ben-Yitzhak O, Golbandi N, Har' El N, et al. Beyond Basic Faceted Search [ C ]. In : Proceedings of the International Confer- ence on Web Search and Web Data Mining ( WSDM' 08 ). New York : ACM Press, 2008:33 - 44.
  • 10Dash D, Rao J, Meqiddo N, et al. Dynamic Faceted Search for Discovery - driven Analysis [ C ]. In : Proceedings of the 17th Inter- national Conference on Information and Knowledge Management (CIKM'08). New York:ACM Press, 2008:3 -12.

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