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Object-Oriented Knowledge Representation and Data Storage Using Inhomogeneous Classes

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Information and Software Technologies (ICIST 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 756))

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Abstract

This paper contains analysis of concept of a class within different object-oriented knowledge representation models. The main attention is paid to structure of the class and its efficiency in the context of data storage, using object-relational mapping. The main achievement of the paper is extension of concept of homogeneous class of objects by introducing concepts of single-core and multi-core inhomogeneous classes of objects, which allow simultaneous defining of a few different types within one class of objects, avoiding duplication of properties and methods in representation of types, decreasing sizes of program codes and providing more efficient information storage in the databases. In addition, the paper contains results of experiment, which show that data storage in relational database, using proposed extensions of the class, in some cases is more efficient in contrast to usage of homogeneous classes of objects.

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Author information

Authors and Affiliations

  1. Taras Shevchenko National University of Kyiv, Kyiv, 03680, Ukraine

    Dmytro Terletskyi

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  1. Dmytro Terletskyi
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Correspondence to Dmytro Terletskyi .

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Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damaševičius

  2. Kaunas University of Technology, Kaunas, Lithuania

    Vilma Mikašytė

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Terletskyi, D. (2017). Object-Oriented Knowledge Representation and Data Storage Using Inhomogeneous Classes. In: Damaševičius, R., Mikašytė, V. (eds) Information and Software Technologies. ICIST 2017. Communications in Computer and Information Science, vol 756. Springer, Cham. https://doi.org/10.1007/978-3-319-67642-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-67642-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67641-8

  • Online ISBN: 978-3-319-67642-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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