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Pfadfindung in einer Datenbank durch schrittweise Kombination von Merkmalen

  • M. Schnabel
  • G. R. Thurmayr
  • R. Thurmayr
  • J. Schöffel
Conference paper
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 5)

Summary

A method is presented which seeks an input string in a data base step by step. For this purpose, not the whole phrase is taken but only essential words of it. For processing the steps the system has rules that must be obeyed so that the next step can be found. This kind of search not only tells us, whether or not the input string exists; the user also receives information about each step which determines a path.

By way of examples, the method will be shown on two types of path- finding:
  • To find an input string within a data base (aid for coding the text to determine semantic integrity);

  • to determine relationships between two input strings within the contents of a data base (to find out semantic relationships between attributes).

Such kinds of relationships are constructed stepwise; therefore, the strength of a relationship can be perceived. In addition to the rules, knowledge is used.

When relationships between a patient’s most important attributes are determined, one receives different paths of which the intermediate results can be regarded as nodes of a graph. It may be possible to evaluate the relationships of the nodes. Then the set of all paths could be considered as a semantic network.

Keywords

Input String Semantic Integrity Essential Word 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Online Conferences Ltd., Uxbridge, England 1979

Authors and Affiliations

  • M. Schnabel
    • 1
    • 2
  • G. R. Thurmayr
    • 1
    • 2
  • R. Thurmayr
    • 1
    • 2
  • J. Schöffel
    • 1
    • 2
  1. 1.Institut für Medizinische Statistik und EpidemiologieTechnischen Universität MünchenDeutschland
  2. 2.Institut für Medizinische DatenverarbeitungGesellschaft für Strahlen- und Umweltforschung mbH MünchenDeutschland

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