DocumentCode :
3427703
Title :
Ontology driven data integration for autism research
Author :
Young, Lynn ; Tu, Samson W. ; Tennakoon, Lakshika ; Vismer, David ; Astakhov, Vadim ; Gupta, Amarnath ; Grethe, Jeffrey S. ; Martone, Maryann E. ; Das, Amar K. ; McAuliffe, Matthew J.
Author_Institution :
Div. of Comput. Biosci., U.S. Nat. Institutes of Health, Bethesda, MD, USA
fYear :
2009
fDate :
2-5 Aug. 2009
Firstpage :
1
Lastpage :
7
Abstract :
Autism spectrum disorder is an inherently complex phenomenon requiring large studies of many different types to further understanding of its causes. The National Database for Autism Research (NDAR) is being constructed to aid in this effort by providing a means for researchers to share and integrate data. An autism ontology drafted by a group at Stanford is being incorporated for use by NDAR to allow semantic data integration. The architecture upon which NDAR is built - the UCSD developed data integration environment - supports the use of this autism ontology, including annotation of data with ontological concepts and ontology enhanced queries on databases, both central and federated.
Keywords :
database management systems; medical disorders; medical information systems; ontologies (artificial intelligence); query processing; NDAR; National Database for Autism Research; UCSD; autism ontology; autism spectrum disorder; data annotation; database queries; ontology driven data integration; ontology enhanced queries; semantic data integration; Autism; Bioinformatics; Biomedical informatics; Data models; Databases; Focusing; Genomics; Neuroimaging; Ontologies; Variable speed drives;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on
Conference_Location :
Albuquerque, NM
ISSN :
1063-7125
Print_ISBN :
978-1-4244-4879-1
Electronic_ISBN :
1063-7125
Type :
conf
DOI :
10.1109/CBMS.2009.5255362
Filename :
5255362
Link To Document :
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