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@article{ART002580161},
author={PARK UCHANG},
title={Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2020},
volume={25},
number={4},
pages={123-131},
doi={10.9708/jksci.2020.25.04.123}

TY - JOUR
AU - PARK UCHANG
TI - Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database
JO - Journal of The Korea Society of Computer and Information
PY - 2020
VL - 25
IS - 4
PB - The Korean Society Of Computer And Information
SP - 123
EP - 131
SN - 1598-849X
AB - The pattern query in graph database has advantages of easy query expression and high query processing performance compared to relational database SQL. However, unlike the relational database, the graph database may not utilize the advantages of pattern query depending on modeling because the methodology for building the logical data model is not defined. In this study, in the is-a node modeling method that appears during the graph modeling process, we experiment that there is a difference in performance between graph pattern query when designing with a generalization model and designing with a specialization model. As a result of the experiment, it was shown that better performance can be obtained when the is-a node is designed as a specialization model. In addition, when writing a pattern query, we show that if a variable is bound to a node or edge, performance may be better than that of the variable of not bounded. The experimental results can be presented as an is-a node modeling method for pattern query and a graph query writing method in the graph database.
KW - Graph Pattern Query;Is-a modeling;Cypher;Graph Database;SQL
DO - 10.9708/jksci.2020.25.04.123
ER -

PARK UCHANG. (2020). Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database. Journal of The Korea Society of Computer and Information, 25(4), 123-131.

PARK UCHANG. 2020, "Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database", Journal of The Korea Society of Computer and Information, vol.25, no.4 pp.123-131. Available from: doi:10.9708/jksci.2020.25.04.123

PARK UCHANG "Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database" Journal of The Korea Society of Computer and Information 25.4 pp.123-131 (2020) : 123.

PARK UCHANG. Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database. 2020; 25(4), 123-131. Available from: doi:10.9708/jksci.2020.25.04.123

PARK UCHANG. "Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database" Journal of The Korea Society of Computer and Information 25, no.4 (2020) : 123-131.doi: 10.9708/jksci.2020.25.04.123

PARK UCHANG. Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database. Journal of The Korea Society of Computer and Information, 25(4), 123-131. doi: 10.9708/jksci.2020.25.04.123

PARK UCHANG. Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database. Journal of The Korea Society of Computer and Information. 2020; 25(4) 123-131. doi: 10.9708/jksci.2020.25.04.123

PARK UCHANG. Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database. 2020; 25(4), 123-131. Available from: doi:10.9708/jksci.2020.25.04.123

PARK UCHANG. "Is-A Node Type Modeling Methodology to Improve Pattern Query Performance in Graph Database" Journal of The Korea Society of Computer and Information 25, no.4 (2020) : 123-131.doi: 10.9708/jksci.2020.25.04.123