| vSPARQL: a view definition language for the semantic web. | |
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MedLine Citation:
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PMID: 20800106 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Translational medicine applications would like to leverage the biological and biomedical ontologies, vocabularies, and data sets available on the semantic web. We present a general solution for RDF information set reuse inspired by database views. Our view definition language, vSPARQL, allows applications to specify the exact content that they are interested in and how that content should be restructured or modified. Applications can access relevant content by querying against these view definitions. We evaluate the expressivity of our approach by defining views for practical use cases and comparing our view definition language to existing query languages. |
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Authors:
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Marianne Shaw; Landon T Detwiler; Natalya Noy; James Brinkley; Dan Suciu |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural Date: 2010-08-25 |
Journal Detail:
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Title: Journal of biomedical informatics Volume: 44 ISSN: 1532-0480 ISO Abbreviation: J Biomed Inform Publication Date: 2011 Feb |
Date Detail:
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Created Date: 2011-03-01 Completed Date: 2011-06-29 Revised Date: 2012-02-02 |
Medline Journal Info:
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Nlm Unique ID: 100970413 Medline TA: J Biomed Inform Country: United States |
Other Details:
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Languages: eng Pagination: 102-17 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 Elsevier Inc. All rights reserved. |
Affiliation:
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University of Washington, Computer Science and Engineering, Box 352350, Seattle, WA 98195, USA. mar@cs.washington.edu |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Animals Biomedical Research Computational Biology Databases, Factual* Humans Internet* Medical Informatics Applications Programming Languages* Semantics* Vocabulary, Controlled* |
| Grant Support | |
ID/Acronym/Agency:
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HL087706/HL/NHLBI NIH HHS; R01 HL087706-04/HL/NHLBI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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