Indexing Patterns in Graph Databases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10380577" target="_blank" >RIV/00216208:11320/18:10380577 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/18:00326756
Result on the web
<a href="http://dx.doi.org/10.5220/0006826903130321" target="_blank" >http://dx.doi.org/10.5220/0006826903130321</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0006826903130321" target="_blank" >10.5220/0006826903130321</a>
Alternative languages
Result language
angličtina
Original language name
Indexing Patterns in Graph Databases
Original language description
Nowadays graphs have become very popular in domains like social media analytics, healthcare, natural sciences, BI, networking, graph-based bibliographic IR, etc. Graph databases (GDB) allow simple and rapid retrieval of complex graph structures that are difficult to model in traditional IS based on a relational DBMS. GDB are designed to exploit relationships in data, which means they can uncover patterns difficult to detect using traditional methods. We introduce a new method for indexing graph patterns within a GDB modelled as a labelled property graph. The index is organized in a tree structure and stored in the same database where the database graph. The method is analysed and implemented for Neo4j GDB engine. It enables to create, use and update indexes that are used to speed-up the process of matching graph patterns. The paper provides a comparison between queries with and without using indexes.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 7th International Conference on Data Science, Technology and Applications - Volume 1: DATA
ISBN
978-989-758-318-6
ISSN
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e-ISSN
neuvedeno
Number of pages
9
Pages from-to
313-321
Publisher name
SciTePress
Place of publication
Setúbal
Event location
Porto
Event date
Jul 26, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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