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A problem-oriented analysis of database models.

N Thalmann, D Thalmann

    Journal of Chemical Information and Computer Sciences
    |May 1, 1979
    PubMed
    Summary
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    This study evaluates database models for specific applications using a chemical example. It analyzes data manipulation challenges in hierarchical and network models, comparing them to a relational approach.

    Area of Science:

    • Computer Science
    • Database Management Systems
    • Chemical Informatics

    Background:

    • Selecting the optimal database model is crucial for efficient data management in specialized applications.
    • Traditional database models present challenges in handling complex data manipulations.

    Purpose of the Study:

    • To determine the most convenient database model for specific applications.
    • To analyze the suitability of hierarchical and network models for chemical data management.

    Main Methods:

    • A chemical dataset was used as a case study.
    • Data manipulation operations (insertion, deletion, updating) were analyzed for the hierarchical model.
    • These operations were compared against a relational language and the Socrate network model.

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    Main Results:

    • The study provides a comparative analysis of database model performance for data operations.
    • Challenges in data manipulation for hierarchical and network models are highlighted.

    Conclusions:

    • The findings offer insights into the practical convenience of different database models for scientific applications.
    • The research facilitates informed decisions on database architecture for chemical data.