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细粒度语义共词分析方法研究 被引量:19

Research on Fine-grained Semantic Co-word Analysis Method
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摘要 针对共词分析方法存在的共现词对的"同量不同质"问题、共词分析结果解释的"不一致"问题等,提出一种细粒度语义共词分析方法。该方法一方面对词对共现统计单元进行碎片化处理,由"文献单元"变为"知识单元"(RDF三元组),达到细粒度的目的;另一方面对共词分析方法进行语义化处理,将共现词对的语义信息融入到共词分析过程之中。最后,借助该方法进行实证研究,并在一定程度上验证该方法的科学性和有效性。 In view of the problems in co-word analysis method such as the different quality with the same quantity and the difference of result explanation, this paper proposes a fine-grained semantic co-word analysis method. In order to realize the fine-grained semantic co-word analysis, on one hand, the statistic unit of the co-words is segmented from "arti- cles unit" to "knowledge (RDF) unit" ; on the other hand, the co-word analysis method is semanticized and the co-word semantic information is integrated into the analyzing process. At last, this paper verifies the scientificity and effectiveness of the proposed method through experiment.
出处 《图书情报工作》 CSSCI 北大核心 2014年第21期73-80,共8页 Library and Information Service
基金 国家社会科学基金项目"基于关联数据的数字图书馆多粒度集成知识服务研究"(项目编号:14CTQ003)研究成果之一
关键词 共词分析 语义 细粒度 关联数据 co-word analysis semantic granularity linked data
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  • 1Callon M, Courtial J P, Turner W A, et al. From translations to problematic Net-works: An introduction to co-word analysis [ J ]. Social Science Information,1983,22(2) : 191 -235.
  • 2Coulter N, Monarch I, Konda S. Software engineering as seen through its research literature: A study in co-word analysis [ J ]. Journal of the American Society for Information Science, 1998, 49 ( 13 ) : 1206 - 1223.
  • 3Rokaya M, Elsayed A, Masao F, et al. Ranking of field association terms using co-word analysis[ J]. Information Processing and Man- agement,2008,44(2) : 738 -755.
  • 4L6pez-Herrera A G, Cobo M J, Herrera-Viedma E, et al. A biblio- metric study about the research based on hybridating the fuzzy logic field and the other computational inteUigent techniques: A visual approach[J]. International Journal of Hybrid Intelligent Systems,2010, 7(1) : 17 -32.
  • 5He Qin. Knowledge discovery through co-word analysis [ J ]. Li- brary Trends, 1999,48 ( 1 ) : 133 - 159.
  • 6Law J, Whittaker J. Mapping acidification research : A test of the co-word method[ J]. Seientometries, 1992,23 (3) :417 - 461.
  • 7Wang Zhengyi, Li Gang, Li Chunya, et al. Research on the se- mantic-based co -word analysis [ J ]. Seientometries, 2012, 90 ( 3 ) : 855 - 875.
  • 8Peters H P F, van Raan A F J. Co-word-based science maps of chemical engineering. Part I: Representations by direct muhidi- mensional sealing[J], Research Policy, 1993, 22( 1 ) : 23 -45.
  • 9Bizet C, Heath T, Bemers-Lee T. Linked data-The story so far[J]. International Journal on Semantic Web and Information Sys- tems, 2009, 5 (3) : 1 - 22.
  • 10Sderbek A, Malmsten M. LIBRIS-linked library data[ J ]. Nodali- ties,2008(5) :19 -20.

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