Abstract
The emergence of concepts such as big data and internet of things lead into a situation where the data structures and repositories have become more complex. So, there should be a way to analyze such data, and organize it into a meaningful and usable form.
Relational model is widely used model for organizing data. Adjacency model is a data model that relies on adjacency between elements. Relational data can be represented by adjacency model. Moreover, the adjacency model can be visualized as a graph. This paper discusses the similarities between the models based on the previous studies and theories. Furthermore, this paper aims to strengthen and quantify the similarities between the models by utilizing the graph theory concepts.
This study reveals that the previous considerations between the relational model and the adjacency model can be backed up with graph theory. If a relational database is represented by adjacency model and visualized as a graph called adjacency relation system, the elements of relational database can be identified from the graph. The identification of the elements is based on the graph theory concepts such as walk, vertex degree, leaf vertex, and graph domination.
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Mäenpää, T., Wanne, M. (2015). Review of Similarities between Adjacency Model and Relational Model. In: Le Thi, H., Pham Dinh, T., Nguyen, N. (eds) Modelling, Computation and Optimization in Information Systems and Management Sciences. Advances in Intelligent Systems and Computing, vol 360. Springer, Cham. https://doi.org/10.1007/978-3-319-18167-7_7
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DOI: https://doi.org/10.1007/978-3-319-18167-7_7
Publisher Name: Springer, Cham
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