Skip to main content
Log in

Tracking latent domain structures: An integration of pathfinder and Latent Semantic Analysis

  • Published:
AI & SOCIETY Aims and scope Submit manuscript

Abstract

Standard psychological scaling methods have been widely used as knowledge elicitation tools to uncover structural characteristics of a given domain. However, these methods traditionally rely on relatedness ratings from human experts, which is often time-consuming and tedious. We describe an integrated approach to knowledge elicitation and representation using Latent Semantic Analysis and Pathfinder Network Scaling techniques. The semantic structure of a subject domain can be automatically characterised from a collection of published documents in the domain. The method is illustrated with an example of organising a digital library in accordance to latent semantic structures.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • ACM (1991).The ACM Hypertext Compendium , ACM Press.

  • Berry, M. W. (1992). Large scale singular value computations.International Journal of Supercomputer Applications, 6(1), 13–49.

    MathSciNet  Google Scholar 

  • Chen, C. (1997). Structuring and visualising the WWW by generalised similarity analysis. InProc. of the ACM Hypertext’97 (Southampton, England, April 1997), ACM Press, 1997, 177–186.

  • Cooke, N. J., Neville, K. J. & Rowe, A. L. (1996). Procedural network representations of sequential data.Human-Computer Interaction, 11(1), 29–68.

    Article  Google Scholar 

  • Cooke, N. J. (1990). Using Pathfinder as a knowledge elicitation tool: Link Interpretation. In Roger W. Schvaneveldt (Ed.) Pathfinder Associative Networks: Studies in Knowledge Organization. Norwood, NJ: Ablex Publishing Corporation. 227–240.

    Google Scholar 

  • Deerwester, S., Dumais, S., Furnas, G., Landauer, T. & Harshman, R. (1990), Indexing by Latent Semantic Analysis.Journal of the American Society for Information Science, 41(6), 391–407.

    Article  Google Scholar 

  • Gammack, J. G. (1990). Expert conceptual structure: The stability of Pathfinder representations. Roger W. Schvaneveldt (Ed.),Pathfinder Associative Networks: Studies in Knowledge Organization. Norwood, NJ: Ablex Publishing Corporation. 213–226.

    Google Scholar 

  • Institute for Scientific Information. (1981). ISI atlas of science: Biochemistry and molecular biology, 1978/80. Philadelphia, PA: Institute for Scientific Information.

    Google Scholar 

  • Kamada, T. & Kawai, S. (1989). An algorithm for drawing general undirected graphs.Information Processing Letters, 31(1), 7–15.

    Article  MATH  MathSciNet  Google Scholar 

  • Kohonen, T. (1995).Self-organization maps. Berlin Heidelberg: Springer-Verlag.

    Google Scholar 

  • Kruskal, J. B. (1964). Nonmetric multidimensional scaling: A numerical method.Psychometrika, 29, 115–129.

    Article  MATH  MathSciNet  Google Scholar 

  • Landauer, T. & Dumais, S. (1996). A solution to Plato’s problem: The Latent Semantic Analysis theory of acquisition, induction and representation of knowledge.Psychological Review. Also available as http://superbook.bellcore.com/∼std/papers/PSYCHREV96.htm

  • Quillian, M. R. (1968). Semantic memory. In M.M. Minsky, (Ed.), Semantic Information Processing. Cambridge, MA: MIT Press.

    Google Scholar 

  • Schvaneveldt, R. W. (Ed., 1990).Pathfinder associative networks: Studies in knowledge organization. Norwood, NJ: Ablex Publishing Corporation.

    Google Scholar 

  • Schvaneveldt, R. W., Durso, F. T., Goldsmith, T. E., Breen, T. J., Cooke, N. M., Tucker, R. G. & DeMaio, J. C. (1985). Measuring the structure of expertise.International Journal of Man-Machine Studies, 23, 699–728.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chaomei Chen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, C. Tracking latent domain structures: An integration of pathfinder and Latent Semantic Analysis. AI & Soc 11, 48–62 (1997). https://doi.org/10.1007/BF02812438

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02812438

Keywords

Navigation