Quality & Quantity

, Volume 41, Issue 5, pp 691–709 | Cite as

Text Analysis for Knowledge Graphs

Article

Abstract:

The concept of knowledge graphs is introduced as a method to represent the state of the art in a specific scientific discipline. Next the text analysis part in the construction of such graphs is considered. Here the ‘translation’ from text to graph takes place. The method that is used here is compared to methods used in other approaches in which texts are analysed.

Keywords

text analysis knowledge graphs 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bakker, R. R. (1987). Knowledge Graphs: Representation and Structuring of Scientific . Ph.D. thesis, Twente University of Technology.Google Scholar
  2. Berelson, B. (1952). Content Analysis in Communication Research. New York: The Free Press. Berelson (1952) is not cited in the text Please checkGoogle Scholar
  3. Carley, K. M. (1993). Coding choices for textual analysis: A comparison of content analysis and map analysis. In: P. V. Marsden (ed.), Sociological Methodology 1993. , MA: Basil Blackwell, pp. 75–126.Google Scholar
  4. Carré B. (1979). Graphs and Networks. Clarendon Press, OxfordGoogle Scholar
  5. Contas M. A. (1992). Qualitative analysis as a public event: The documentation of category development procedures. American Educational Research Journal 29(2): 253–266CrossRefGoogle Scholar
  6. Crane, D. (1972). Invisible Colleges. Diffusion of Knowledge in Scientific Communities. : The University of Chicago Press.Google Scholar
  7. De Haan, J (1994). Research groups in Dutch Sociology. Ph.D.-thesis, University of Utrecht.Google Scholar
  8. Ericsson, K.A. & Simon, H. A. (1994). Protocol Analysis, Verbal Reports as Data., MIT Press, MAGoogle Scholar
  9. Franzosi R. (1990). Computer-assisted coding of textual data. Sociological Methods and Research 19(4): 225–257CrossRefGoogle Scholar
  10. Hoede, C. & Weening, H. M. (1999). Graph theoretical analysis as tool for validation and conceptualization. In: C. Van Dijkum, D. De Tombe & E. Van Kuijk (eds.), Validation of Simulation Models. Amsterdam: SISWO, pp. 70–87.Google Scholar
  11. Hummon, N. P. & Doreian, P. (1989). Connectivity in a citation network: the development of DNA theory. Social Networks 11(1): 39–63CrossRefGoogle Scholar
  12. James, P. (1992). Knowledge graphs. In: R.P. Van de Riet & R.A. Meersman (eds.), Instruments in Knowledge Engineering. Amsterdam: Elsevier, pp. 97–117Google Scholar
  13. Kaplan, A. (1964). The Conduct of Inquiry. Scranton: Chandler.Google Scholar
  14. Kelly E. F. & Stone P. J. (1975) Computer Recognition of English Word Senses. Amsterdam: North-HollandGoogle Scholar
  15. Kuhn T. (1962). The Structure of Scientific Revolutions. Chicago: University of Chicago PressGoogle Scholar
  16. Popping R. (1992). In search for one set of categories. Quality and Quantity 25(1): 147–155CrossRefGoogle Scholar
  17. Popping R. (2000). Computer-assisted Text Analysis. London: SageGoogle Scholar
  18. Popping R. (2003). Knowledge graphs and network text analysis. Social Science Information 42(1): 91–106CrossRefGoogle Scholar
  19. Popping R. (2005). Representation of developments in labour market research. Quality & Quantity 39(3): 241–251CrossRefGoogle Scholar
  20. Popping R. & Strijker I. (1997). Representation and integration of sociological knowledge by using knowledge graphs. Social Science Information 35(4): 731–747CrossRefGoogle Scholar
  21. Rahmstorf, G. (1983). Die semantische Relationen in nominalen Ausdrücken des Deutschen. [The semantic relations in nominal expressions in German language]. Unpublished dissertation, Johannes Gutenberg University Mainz.Google Scholar
  22. Roberts C. W. (1989). Other than counting words: A linguistic approach to content . Social Forces 68(1): 147–177CrossRefGoogle Scholar
  23. Roberts C. W. & Popping R. (1996). Themes, syntax, and other necessary steps in the analysis of texts. Social Science Information 35(4): 657–665CrossRefGoogle Scholar
  24. Ryle G. (1949). The Concept of Mind. London: HutchinsonGoogle Scholar
  25. Shapiro, G. (1997). The future of coders: Human judgments in a world of sophisticated . In C. W. Roberts (ed.), Text Analysis for the Social Sciences: Methods for Drawing Statistical Inferences from Texts and Transcripts. Mahwah, NJ: Lawrence Erlbaum Associates, pp. 225–238.Google Scholar
  26. Stokman, F. N. & De Vries, P. H. (1988). Structuring Knowledge in a Graph. In: G. C. Van der Veer & G. Mulder (eds.), Human-Computer Interaction: Psychonomic Aspects. Berlin: Springer, pp. 186–206.Google Scholar
  27. Van Cuilenburg J. J., Kleinnijenhuis J. & De Ridder J. A. (1988). Artificial intelligence and content analysis. Quality and Quantity 22(1): 65–97CrossRefGoogle Scholar
  28. Van den Berg, H. (1993). Knowledge Graphs and Logic: One of Two Kinds. Ph.D. thesis, Twente University.Google Scholar
  29. Wrightson, M. T. (1976). The documentary coding method. In: R. Axelrod (ed.), Structure of Decision: The Cognitive Maps of Political Elites. Princeton, NJ: Princeton University Press, pp. 291–332.Google Scholar

Copyright information

© Springer Science + Business Media B.V. 2006

Authors and Affiliations

  1. 1.Department of SociologyUniversity of GroningenGroningenThe Netherlands

Personalised recommendations