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Representation of concept relations using the TOSAR system of the IDC: Treatise III on information retrieval theory

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  • Robert Fugmann
  • Herbert Nickelsen
  • Ingeborg Nickelsen
  • Jakob H. Winter

Abstract

Successful information retrieval from a mechanized file is heavily dependent on the fidelity of the representation of concepts in the particular language of the system and on the predictability of this representation. If an index language is employed, predictability is guaranteed and the quality of the retrieval is predominantly governed by the fidelity of the representation, i.e., by the extent to which conceptual distortion of the concepts to be represented can be avoided. The various index languages vary widely with respect to their fidelity. Differences in their performance are correspondingly great. The lack of fidelity in most of the present day indexing languages is due mainly to insufficient representation of the relationships among concepts. We describe a new graphical method of storing and retrieving concept relations of various kinds. The points of such a graph are occupied by concepts, and the connecting lines between these points represent concept relations. In a special field of chemistry, these graphs also serve as a kind of presentation of the essentials of a document to the reader that is much more lucid than a natural language text.

Suggested Citation

  • Robert Fugmann & Herbert Nickelsen & Ingeborg Nickelsen & Jakob H. Winter, 1974. "Representation of concept relations using the TOSAR system of the IDC: Treatise III on information retrieval theory," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 25(5), pages 287-307, September.
    • Handle: RePEc:bla:jamest:v:25:y:1974:i:5:p:287-307
    DOI: 10.1002/asi.4630250503
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