hrcak mascot   Srce   HID

Automatika : journal for control, measurement, electronics, computing and communications, Vol.57 No.3 March 2017.

Original scientific paper
https://doi.org/10.7305/automatika.2017.02.1581

Property Oriented Relational-To-Graph Database Conversion

Ognjen Orel ; University Computing Centre SRCE, University of Zagreb, J. Marohni´ca 5, HR-10000, Zagreb, Croatia
Slaven Zakošek ; Department of Applied Computing, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR-10000, Zagreb, Croatia
Mirta Baranović ; Department of Applied Computing, Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, HR-10000, Zagreb, Croatia

Fulltext: english, pdf (461 KB) pages 836-845 downloads: 127* cite
APA 6th Edition
Orel, O., Zakošek, S. & Baranović, M. (2016). Property Oriented Relational-To-Graph Database Conversion. Automatika, 57 (3), 836-845. https://doi.org/10.7305/automatika.2017.02.1581
MLA 8th Edition
Orel, Ognjen, et al. "Property Oriented Relational-To-Graph Database Conversion." Automatika, vol. 57, no. 3, 2016, pp. 836-845. https://doi.org/10.7305/automatika.2017.02.1581. Accessed 19 Aug. 2018.
Chicago 17th Edition
Orel, Ognjen, Slaven Zakošek and Mirta Baranović. "Property Oriented Relational-To-Graph Database Conversion." Automatika 57, no. 3 (2016): 836-845. https://doi.org/10.7305/automatika.2017.02.1581
Harvard
Orel, O., Zakošek, S., and Baranović, M. (2016). 'Property Oriented Relational-To-Graph Database Conversion', Automatika, 57(3), pp. 836-845. doi: https://doi.org/10.7305/automatika.2017.02.1581
Vancouver
Orel O, Zakošek S, Baranović M. Property Oriented Relational-To-Graph Database Conversion. Automatika [Internet]. 2017 Mar 23 [cited 2018 August 19];57(3):836-845. doi: https://doi.org/10.7305/automatika.2017.02.1581
IEEE
O. Orel, S. Zakošek and M. Baranović, "Property Oriented Relational-To-Graph Database Conversion", Automatika, vol.57, no. 3, pp. 836-845, August 2018. [Online]. doi: https://doi.org/10.7305/automatika.2017.02.1581

Abstracts
Analysis of data stored in a graph enables the discovery of certain information that could be hard to see if the data were stored using some other model (e.g. relational). However, the vast majority of data in information systems today is stored in relational databases, which dominate the data management field over the last decades. In spite of the rise of NoSQL technologies, the development of new information systems is still mostly based on relational databases. Given the increasing awareness about the benefits of data analysis as well as current research interest in graph mining techniques, we aim to enable the usage of those techniques on relational data. In that regard, we propose a universal relational-to-graph data conversion algorithm which can be used in preparation of data to perform a graph mining analysis. Our approach leverages the property graph model which is mainly used by the graph databases, while maintaining the level of relational data clarity.

Keywords
graph database; GDBMS; graph mining; relational-to-graph; property graph model

Hrčak ID: 180725

URI
https://hrcak.srce.hr/180725

[croatian]

Visits: 220 *