Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

Bio2RDF

General information

URL: http://bio2rdf.org
Full name:
Description: Although RDF was proposed as a standard format for the web, these databases are still available in various formats. With the increasing popularity of the semantic web technologies and the ever growing number of databases in bioinformatics, there is a pressing need to develop mashup systems to help the process of bioinformatics knowledge integration. Bio2RDF is such a system, built from rdfizer programs written in JSP, the Sesame open source triplestore technology and an OWL ontology.
Year founded: 2008
Last update:
Version:
Accessibility:
Accessible
Country/Region: Canada

Classification & Tag

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

Contact information

University/Institution: Université Laval
Address:
City:
Province/State:
Country/Region: Canada
Contact name (PI/Team): Belleau F
Contact email (PI/Helpdesk): francoisbelleau@yahoo.ca

Publications

18472304
Bio2RDF: towards a mashup to build bioinformatics knowledge systems. [PMID: 18472304]
Belleau F, Nolin MA, Tourigny N, Rigault P, Morissette J.

Presently, there are numerous bioinformatics databases available on different websites. Although RDF was proposed as a standard format for the web, these databases are still available in various formats. With the increasing popularity of the semantic web technologies and the ever growing number of databases in bioinformatics, there is a pressing need to develop mashup systems to help the process of bioinformatics knowledge integration. Bio2RDF is such a system, built from rdfizer programs written in JSP, the Sesame open source triplestore technology and an OWL ontology. With Bio2RDF, documents from public bioinformatics databases such as Kegg, PDB, MGI, HGNC and several of NCBI's databases can now be made available in RDF format through a unique URL in the form of http://bio2rdf.org/namespace:id. The Bio2RDF project has successfully applied the semantic web technology to publicly available databases by creating a knowledge space of RDF documents linked together with normalized URIs and sharing a common ontology. Bio2RDF is based on a three-step approach to build mashups of bioinformatics data. The present article details this new approach and illustrates the building of a mashup used to explore the implication of four transcription factor genes in Parkinson's disease. The Bio2RDF repository can be queried at http://bio2rdf.org.

J Biomed Inform. 2008:41(5) | 267 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
964/6895 (86.033%)
Raw bio-data:
67/582 (88.66%)
964
Total Rank
262
Citations
15.412
z-index

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Record metadata

Created on: 2018-01-27
Curated by:
Dong Zou [2019-12-02]
Mengyu Pan [2018-09-21]
Mengyu Pan [2018-02-24]
Zhaohua Li [2018-01-27]