Comparison of Approaches for Querying Chemical Compounds
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10398878" target="_blank" >RIV/00216208:11320/19:10398878 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-33752-0_15" target="_blank" >http://dx.doi.org/10.1007/978-3-030-33752-0_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-33752-0_15" target="_blank" >10.1007/978-3-030-33752-0_15</a>
Alternative languages
Result language
angličtina
Original language name
Comparison of Approaches for Querying Chemical Compounds
Original language description
In this paper, we address this lack of information and we create an unbiased benchmark of the most popular index building methods for subgraph querying of chemical databases. In addition, we compare the results with the performance of an SQL and a graph database for which there exist various unconfirmed hypotheses on their efficiency.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
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 5th International Workshop on Data Management and Analytics for Medicine and Healthcare
ISBN
978-3-030-33751-3
ISSN
—
e-ISSN
—
Number of pages
18
Pages from-to
204-221
Publisher name
Springer
Place of publication
Cham
Event location
Los Angeles, CA, USA
Event date
Aug 30, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—