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ThinkMind // DBKDA 2020, The Twelfth International Conference on Advances in Databases, Knowledge, and Data Applications // View article dbkda_2020_1_30_50016


The Typed Graph Model

Authors:
Fritz Laux

Keywords: typed hyper-graph model; semantic enhancement; data quality.

Abstract:
In recent years, the Graph Model has become increasingly popular, especially in the application domain of social networks. The model has been semantically augmented with properties and labels attached to the graph elements. It is difficult to ensure data quality for the properties and the data structure because the model does not need a schema. In this paper, we propose a schema bound Typed Graph Model with properties and labels. These enhancements improve not only data quality but also the quality of graph analysis. The power of this model is provided by using hyper-nodes and hyper-edges, which allows to present a data structure on different abstraction levels. We demonstrate by example the superiority of this model over the property graph data model of Hidders and other prevalent data models, namely the relational, object-oriented, and XML model.

Pages: 13 to 19

Copyright: Copyright (c) IARIA, 2020

Publication date: September 27, 2020

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-790-0

Location: Lisbon, Portugal

Dates: from September 27, 2020 to October 1, 2020

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