Research on the semantic-based co-word analysis

Through analysis of problems of keywords and indexes used in co-word analysis, we find that the key to solving these problems is to integrate experts’ knowledge into co-word analysis. Therefore, this paper proposes a new co-word analysis: semantic-based co-word analysis which can integrate experts’ knowledge into co-word analysis effectively. The performance of this method has been proved to be very good. It can solve problems on keywords and indexes used in co-word analysis effectively and can improve the veracity of co-word analysis. Using this method, the research filed of “human intelligence network” in China has been analyzed. According to the analysis result, we point out that there are four research focuses on it in China now. They are “methods and theories of human intelligence network”, “human intelligence network”, “competitive intelligence system (CIS for short)”, “the construction and visualization of human intelligence network”. The findings of this study not only advance the state of co-word analysis research but also shed light on future research directions.

[1]  M. Callon,et al.  Mapping the dynamics of science and technology : sociology of science in the real world , 1988 .

[2]  W. A. Turner,et al.  PACKAGING INFORMATION FOR PEER REVIEW : NEW CO-WORD ANALYSIS TECHNIQUES , 1988 .

[3]  Marisela Rodríguez Salvador,et al.  Cognitive structure of research: Scientometric mapping in sintered materials , 2000 .

[4]  Jean Pierre Courtial,et al.  Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemsitry , 1991, Scientometrics.

[5]  B. Michelet,et al.  Using bibliometrics in strategic analysis: “understanding chemical reactions” at the CNRS , 1991, Scientometrics.

[6]  Rafael Bailón-Moreno,et al.  Visualization and evolution of the scientific structure of fuzzy sets research in Spain , 2009, Inf. Res..

[7]  H. P. F. Peters,et al.  Co-word-based science maps of chemical engineering. Part I: Representations by direct multidimensional scaling , 1993 .

[8]  Chaomei Chen,et al.  Visualizing knowledge domains , 2005, Annu. Rev. Inf. Sci. Technol..

[9]  Jean Pierre Courtial,et al.  A coword analysis of scientometrics , 1994, Scientometrics.

[10]  J. Law,et al.  Mapping acidification research: A test of the co-word method , 1992, Scientometrics.

[11]  Enrique Herrera-Viedma,et al.  A bibliometric study about the research based on hybridating the fuzzy logic field and the other computational intelligent techniques: A visual approach , 2010, Int. J. Hybrid Intell. Syst..

[12]  Neal S. Coulter,et al.  Software Engineering as Seen through Its Research Literature: A Study in Co-Word Analysis , 1998, J. Am. Soc. Inf. Sci..

[13]  Katherine W. McCain,et al.  Visualizing a discipline: an author co-citation analysis of information science, 1972–1995 , 1998 .

[14]  Qin He,et al.  Knowledge Discovery Through Co-Word Analysis , 1999, Libr. Trends.

[15]  M. Callon,et al.  From translations to problematic networks: An introduction to co-word analysis , 1983 .

[16]  Cheng Wen,et al.  Global scientific production on GIS research by bibliometric analysis from 1997 to 2006 , 2008, J. Informetrics.

[17]  Sue Ziebland,et al.  Ethics and dementia: mapping the literature by bibliometric analysis , 2003, International journal of geriatric psychiatry.

[18]  Arie Rip,et al.  Putting Texts in Their Place , 1986 .

[19]  Atro Voutilainen,et al.  NPtool, a Detector of English Noun Phrases , 1995, VLC@ACL.

[20]  Gobinda G. Chowdhury,et al.  Bibliometric cartography of information retrieval research by using co-word analysis , 2001, Inf. Process. Manag..