Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

SPARQLGraph

General information

URL: http://sparqlgraph.i-med.ac.at
Full name:
Description: SPARQLGraph offers an intuitive drag & drop query builder, which converts the visual graph into a query and executes it on a public endpoint. The tool integrates several publicly available Semantic Web databases, including the databases of the just recently released EBI RDF platform. Furthermore, it provides several predefined template queries for answering biological questions. Users can easily create and save new query graphs, which can also be shared with other researchers.
Year founded: 2014
Last update:
Version:
Accessibility:
Accessible
Country/Region: Austria

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Innsbruck Medical University
Address: Division for Bioinformatics, Biocenter, Innsbruck Medical University, Innsbruck, Austria
City: Innsbruck
Province/State:
Country/Region: Austria
Contact name (PI/Team): Dominik Schweiger
Contact email (PI/Helpdesk): schweiger.d@gmail.com

Publications

25127889
SPARQLGraph: a web-based platform for graphically querying biological Semantic Web databases. [PMID: 25127889]
Schweiger D, Trajanoski Z, Pabinger S.

BACKGROUND: Semantic Web has established itself as a framework for using and sharing data across applications and database boundaries. Here, we present a web-based platform for querying biological Semantic Web databases in a graphical way.
RESULTS: SPARQLGraph offers an intuitive drag & drop query builder, which converts the visual graph into a query and executes it on a public endpoint. The tool integrates several publicly available Semantic Web databases, including the databases of the just recently released EBI RDF platform. Furthermore, it provides several predefined template queries for answering biological questions. Users can easily create and save new query graphs, which can also be shared with other researchers.
CONCLUSIONS: This new graphical way of creating queries for biological Semantic Web databases considerably facilitates usability as it removes the requirement of knowing specific query languages and database structures. The system is freely available at http://sparqlgraph.i-med.ac.at.

BMC Bioinformatics. 2014:15() | 5 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
6219/6895 (9.819%)
Health and medicine:
1582/1738 (9.033%)
6219
Total Rank
5
Citations
0.455
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2018-01-28
Curated by:
Mansoor Khan [2018-04-25]
Mansoor Khan [2018-04-15]
Qi Wang [2018-01-28]