BioPortal: ontologies and integrated data resources at the click of a mouse

Autor: Margaret-Anne Storey, Clement Jonquet, Nicholas Griffith, Daniel L. Rubin, Michael Dorf, Nigam H. Shah, Mark A. Musen, Patricia L. Whetzel, Benjamin Dai, Natalya F. Noy, Christopher G. Chute
Přispěvatelé: Stanford Center for BioMedical Informatics Research (BMIR), Stanford University, Computer Human Interaction & Software Engineering Lab (CHISEL), Department of Computer Science, University of Victoria, Mayo Clinic (MC), Division of Biomedical Statistics and Informatics, Mayo Clinic, NCBO
Rok vydání: 2009
Předmět:
Biomedical Research
Abstracting and Indexing
02 engineering and technology
Ontology (information science)
Biology
computer.software_genre
biomedical ontologies
Open Biomedical Ontologies
World Wide Web
User-Computer Interface
03 medical and health sciences
semantic web
Controlled vocabulary
BioPortal
0202 electrical engineering
electronic engineering
information engineering

Genetics
RDF
Semantic Web
Natural Language Processing
030304 developmental biology
Internet
0303 health sciences
[INFO.INFO-WB]Computer Science [cs]/Web
Articles
computer.file_format
Protégé
[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]
Systems Integration
Vocabulary
Controlled

020201 artificial intelligence & image processing
[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
Web service
computer
Software
Data integration
Zdroj: Nucleic Acids Research
Nucleic Acids Research, Oxford University Press, 2009, 37, pp.170-173. ⟨10.1093/nar/gkp440⟩
ISSN: 1362-4962
0305-1048
Popis: International audience; Biomedical ontologies provide essential domain knowledge to drive data integration, information retrieval, data annotation, natural language processing and decision support. BioPortal (http://bioportal.bioontology.org) is an open repository of biomedical ontologies that provides access via Web services and Web browsers to ontologies developed in OWL, RDF, OBO format and Protégé frames. BioPortal functionality includes the ability to browse, search and visualize ontologies. The Web interface also facilitates community-based participation in the evaluation and evolution of ontology content by providing features to add notes to ontology terms, mappings between terms and ontology reviews based on criteria such as usability, domain coverage, quality of content, and documentation and support. BioPortal also enables integrated search of biomedical data resources such as the Gene Expression Omnibus (GEO), ClinicalTrials.gov, and ArrayExpress, through the annotation and indexing of these resources with ontologies in BioPortal. Thus, BioPortal not only provides investigators, clinicians, and developers ‘one-stop shopping' to programmatically access biomedical ontologies, but also provides support to integrate data from a variety of biomedical resources.
Databáze: OpenAIRE