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.
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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.
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.
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.
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.
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.
Institute for Scientific Information. (1981). ISI atlas of science: Biochemistry and molecular biology, 1978/80. Philadelphia, PA: Institute for Scientific Information.
Kamada, T. & Kawai, S. (1989). An algorithm for drawing general undirected graphs.Information Processing Letters, 31(1), 7–15.
Kohonen, T. (1995).Self-organization maps. Berlin Heidelberg: Springer-Verlag.
Kruskal, J. B. (1964). Nonmetric multidimensional scaling: A numerical method.Psychometrika, 29, 115–129.
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.
Schvaneveldt, R. W. (Ed., 1990).Pathfinder associative networks: Studies in knowledge organization. Norwood, NJ: Ablex Publishing Corporation.
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.
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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
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DOI: https://doi.org/10.1007/BF02812438