Advanced SPARQL querying in small molecule databases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F16%3A00461690" target="_blank" >RIV/61388963:_____/16:00461690 - isvavai.cz</a>
Result on the web
<a href="http://jcheminf.springeropen.com/articles/10.1186/s13321-016-0144-4" target="_blank" >http://jcheminf.springeropen.com/articles/10.1186/s13321-016-0144-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s13321-016-0144-4" target="_blank" >10.1186/s13321-016-0144-4</a>
Alternative languages
Result language
angličtina
Original language name
Advanced SPARQL querying in small molecule databases
Original language description
In recent years, the Resource Description Framework (RDF) and the SPARQL query language have become more widely used in the area of cheminformatics and bioinformatics databases. These technologies allow better interoperability of various data sources and powerful searching facilities. However, we identified several deficiencies that make usage of such RDF databases restrictive or challenging for common users. We extended a SPARQL engine to be able to use special procedures inside SPARQL queries. This allows the user to work with data that cannot be simply precomputed and thus cannot be directly stored in the database. We designed an algorithm that checks a query against data ontology to identify possible user errors. This greatly improves query debugging. We also introduced an approach to visualize retrieved data in a user-friendly way, based on templates describing visualizations of resource classes. To integrate all of our approaches, we developed a simple web application. Our system was implemented successfully, and we demonstrated its usability on the ChEBI database transformed into RDF form. To demonstrate procedure call functions, we employed compound similarity searching based on OrChem. The application is publicly available at https://bioinfo.uochb.cas.cz/projects/chemRDF.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CF - Physical chemistry and theoretical chemistry
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LM2015047" target="_blank" >LM2015047: Czech National Infrastructure for Biological Data</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Cheminformatics
ISSN
1758-2946
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
Jun 6
Country of publishing house
GB - UNITED KINGDOM
Number of pages
14
Pages from-to
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UT code for WoS article
000377064900001
EID of the result in the Scopus database
2-s2.0-84973379995