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    A graph-based data model and its ramifications

    Levene, Mark and Loizou, G. (1995) A graph-based data model and its ramifications. IEEE Transactions on Knowledge and Data Engineering 7 (5), pp. 809-823. ISSN 1041-4347.

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    Abstract

    Currently, database researchers are investigating new data models in order to remedy the deficiencies of the flat relational model when applied to nonbusiness applications. Herein we concentrate on a recent graph based data model called the hypernode model. The single underlying data structure of this model is the hypernode which is a digraph with a unique defining label. We present in detail the three components of the model, namely its data structure, the hypernode, its query and update language, called HNQL, and its provision for enforcing integrity constraints. We first demonstrate that the said data model is a natural candidate for formalising hypertext. We then compare it with other graph based data models and with set based data models. We also investigate the expressive power of HNQL. Finally, using the hypernode model as a paradigm for graph based data modelling, we show how to bridge the gap between graph based and set based data models, and at what computational cost this can be done.

    Metadata

    Item Type: Article
    School: School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 08 Jun 2021 11:06
    Last Modified: 08 Jun 2021 11:06
    URI: https://eprints.bbk.ac.uk/id/eprint/44658

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