Content management by keywords: An analytical Study

Dutta, Bidyarthi and Majumder, Krishnapada and Sen, B.K. Content management by keywords: An analytical Study. SRELS Journal of Information Management, 2010, vol. 47, n. 6, pp. 599-620. [Journal article (Paginated)]

[img]
Preview
PDF
SRELS-Paper-Dutta-Majumder-Sen-Dec-2010.pdf

Download (819kB) | Preview

English abstract

Various methods of content analysis are described with special emphasis to keyword analysis. The paper is based on an analytical study of 97 keywords extracted from titles and abstracts of 70 research articles from INSPEC, taking ten from each year starting from 2000 to 2006, in decreasing order of relevance, on Fermi Liquid, which is a specific subject under Condensed Matter Physics. The keywords beginning with the letters ‗A‘ to ‗F‘ only are considered for this study. The keywords are indexed to critically examine its physical structure that is composed of three fundamental kernels, viz. key phrase, modulator and qualifier. The key phrase reflects the central concept, which is usually post-coordinated by the modulator to amend the central concept in accordance with the relevant context. The qualifier comes after the modulator to describe the particular state of the central concept and/or amended concept. The keywords are further classified in 36 classes on the basis of the 10 parameters, of which 4 parameters are intrinsic, i.e. associativeness, chronological appearance, frequency of occurrence and category; and remaining 6 parameters are extrinsic, i.e. Clarity of meaning, type of meaning, scope of meaning, level of perception, mode of creation and area of occurrence. The number of classes under 4 intrinsic parameters is 16, while the same under 6 extrinsic parameters are 20. A new taxonomy of keywords has been proposed here that will help to analyze research-trend of a subject and also identify potential research-areas under its scope.

Item type: Journal article (Paginated)
Keywords: Content management, Content analysis, Keyword cluster analysis, Keyword taxonomy, Condensed matter physics, Fermi liquid, Structure of keyword, Intrinsic criteria of keyword, Extrinsic criteria of keyword
Subjects: I. Information treatment for information services > IB. Content analysis (A and I, class.)
Depositing user: Bidyarthi Dutta
Date deposited: 09 Jan 2011
Last modified: 02 Oct 2014 12:18
URI: http://hdl.handle.net/10760/15246

References

1. Berelson,B. Content analysis in communications research. New York: Free Press, 1952.

2. Kippendorff,K. Content analysis: An introduction to its methodology. (2nd ed.). Thousand Oaks, CA: Sage, 2004.

3. Habermas, J. Communication and the Evolution of Society. Boston: Beacon, 1979.

4. Miller, U. Thesaurus and New Information Environment. IN: Encyclopedia of Library and Information Science. New York: Marcel Dekker, 2003, p. 2811-2819.

5. Jones, Sparck. Some thoughts on classification for retrieval. Journal of Documentation. Vol. 26(2); 1970; p89-101.

6. Cambrosio, A; et al. Historical scientometrics? Mapping over 70 years of biological safety research with co-word analysis. Scientometrics. Vol. 27(2); 1993; p119–143.

7. Coulter,N; Monarch, I); Konda, S. Software engineering as seen through its research literature: A study in co-word analysis. Journal of the American Society for Information Science. Vol. 49(13); 1998; p1206–1223.

8. Looze, M D; Lemarie, J. Corpus relevance through co-word analysis: An application to plant proteins. Scientometrics. Vol. 39(3); 1997; p267–280.

9. Courtial, J P. Co-word analysis of scientometrics. Scientometrics. Vol. 31(3); 1994; p251–260.

10. Courtial, J P; Cahlik, T; Callon, M. Model for social interaction between cognition and action through a key-word simulation of knowledge growth. Scientometrics. Vol. 31(2); 1994; p173-192.

11. Law, J; Whittaker, J. Mapping acidification research: A test of the co-word method. Scientometrics. Vol. 23(3); 1992; p417–461.

12. Noyons, E C M; van Raan, A F J. Advanced mapping of science and technology. Scientometrics. Vol. 41(1–2); 1998; p61-67.

13. Noyons, E C M; van Raan, A F J. Monitoring scientific developments from a dynamic perspective: Self-organized structuring to map neural network research. Journal of the American Society for Information Science. Vol. 49(1); 1998; p 68-81.

14. Van Raan, A F J; Tijssen, R J W. The neural net of neural network research. Scientometrics. Vol. 26(1); 1993; p169-192.

15. Van Raan, A F J. Scientometrics: State-of-the-art. Scientometrics. Vol. 38(1); 1997; p205-218.

16. De Beaugrande, Robert-Alain; Wolfgang Dressler. Introduction to text linguistics. London; New York: Longman, 1981.

17. Dutta, Bidyarthi. An analytical investigation into the characteristics of a subject; a case study. PhD thesis submitted to Jadavpur University, 2008.

18. Dutta, B; Majumder, K P; Sen, B K. Classification of keywords extracted from research articles published in science journals. Annals of Library and Information Studies. Vol. 55(4); 2008; p317-333.


Downloads

Downloads per month over past year

Actions (login required)

View Item View Item