Comparison of Querying Performance of Neo4j on Graph and Hyper-graph Data Model

Mert Erdemir, Furkan Goz, Alev Mutlu, Pinar Karagoz

2019

Abstract

Graph databases are gaining wide use as they provide flexible mechanisms to model real world entities and the relationships among them. In the literature, there exists several studies that evaluate performance of graph databases and graph database query languages. However, there is limited work on comparing performance for graph database querying under different graph representation models. In this study, we focus on two graph representation models: ordinary graphs vs. hyper-graphs, and investigate the querying performance of Neo4j for various query types under each model. The analysis conducted on a benchmark data set reveal what type of queries perform better on each representation.

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Paper Citation


in Harvard Style

Erdemir M., Goz F., Mutlu A. and Karagoz P. (2019). Comparison of Querying Performance of Neo4j on Graph and Hyper-graph Data Model. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR; ISBN 978-989-758-382-7, SciTePress, pages 397-404. DOI: 10.5220/0008214503970404


in Bibtex Style

@conference{kdir19,
author={Mert Erdemir and Furkan Goz and Alev Mutlu and Pinar Karagoz},
title={Comparison of Querying Performance of Neo4j on Graph and Hyper-graph Data Model},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR},
year={2019},
pages={397-404},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008214503970404},
isbn={978-989-758-382-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR
TI - Comparison of Querying Performance of Neo4j on Graph and Hyper-graph Data Model
SN - 978-989-758-382-7
AU - Erdemir M.
AU - Goz F.
AU - Mutlu A.
AU - Karagoz P.
PY - 2019
SP - 397
EP - 404
DO - 10.5220/0008214503970404
PB - SciTePress