Title :
Chem2Bio2RDF: A Linked Open Data Portal for Systems Chemical Biology
Author :
Chen, Bin ; Ding, Ying ; Wang, Huijun ; Wild, David J. ; Dong, Xiao ; Sun, Yuyin ; Zhu, Qian ; Sankaranarayanan, Madhuvanthi
Author_Institution :
Sch. of Inf. & Comput., Indiana Univ., Bloomington, IN, USA
fDate :
Aug. 31 2010-Sept. 3 2010
Abstract :
The Chem2Bio2RDF portal is a Linked Open Data (LOD) portal for systems chemical biology aiming for facilitating drug discovery. It converts around 25 different datasets on genes, compounds, drugs, pathways, side effects, diseases, and MEDLINE/PubMed documents into RDF triples and links them to other LOD bubbles, such as Bio2RDF, LODD and DBPedia. The portal is based on D2R server and provides a SPARQL endpoint, but adds on several unique features such as RDF faceted browser, user-friendly SPARQL query generator, MEDLINE/PubMed cross validation service, and Cytoscape visualization plugin. Three use cases demonstrate the functionality and usability of this portal. The portal is available at http://chem2bio2rdf.org.
Keywords :
biology computing; chemical engineering computing; document handling; human computer interaction; portals; query processing; Chem2Bio2RDF portal; Cytoscape visualization plugin; D2R server; MEDLINE cross validation service; PubMed document; RDF triples; SPARQL endpoint; drug discovery; linked open data portal; systems chemical biology; userfriendly SPARQL query generator; RDF; SPARQL; Semantic Web; Systems Chemical Biology;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-8482-9
Electronic_ISBN :
978-0-7695-4191-4
DOI :
10.1109/WI-IAT.2010.183
