NCBO Resource Index: Ontology-Based Search and Mining of Biomedical Resources
Identifieur interne : 002550 ( Main/Exploration ); précédent : 002549; suivant : 002551NCBO Resource Index: Ontology-Based Search and Mining of Biomedical Resources
Auteurs : Clement Jonquet [États-Unis, France] ; Paea Lependu [États-Unis] ; Sean Falconer [États-Unis] ; Adrien Coulet [États-Unis, France] ; Natalya F. Noy [États-Unis] ; Mark A. Musen [États-Unis] ; Nigam H. Shah [États-Unis]Source :
- Web semantics (Online) [ 1570-8268 ] ; 2011.
Descripteurs français
- Wicri :
- topic : Web sémantique.
English descriptors
- mix :
Abstract
The volume of publicly available data in biomedicine is constantly increasing. However, these data are stored in different formats and on different platforms. Integrating these data will enable us to facilitate the pace of medical discoveries by providing scientists with a unified view of this diverse information. Under the auspices of the National Center for Biomedical Ontology (NCBO), we have developed the Resource Index—a growing, large-scale ontology-based index of more than twenty heterogeneous biomedical resources. The resources come from a variety of repositories maintained by organizations from around the world. We use a set of over 200 publicly available ontologies contributed by researchers in various domains to annotate the elements in these resources. We use the semantics that the ontologies encode, such as different properties of classes, the class hierarchies, and the mappings between ontologies, in order to improve the search experience for the Resource Index user. Our user interface enables scientists to search the multiple resources quickly and efficiently using domain terms, without even being aware that there is semantics “under the hood.”
Url:
DOI: 10.1016/j.websem.2011.06.005
PubMed: 21918645
PubMed Central: 3170774
Affiliations:
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Le document en format XML
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Stanford University, 251 Campus Drive, Stanford, CA 94305-5479</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation><affiliation wicri:level="3"><nlm:aff id="A3">Lorraine Informatics Research and Applications Laboratory (LORIA) – INRIA Nancy - Grand-Est, Campus Scientifique - BP 239, 54506 Vandoeuvre-lès-Nancy Cedex, France</nlm:aff><country xml:lang="fr">France</country><wicri:regionArea>Lorraine Informatics Research and Applications Laboratory (LORIA) – INRIA Nancy - Grand-Est, Campus Scientifique - BP 239, 54506 Vandoeuvre-lès-Nancy Cedex</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement></placeName></affiliation></author><author><name sortKey="Noy, Natalya F" sort="Noy, Natalya F" uniqKey="Noy N" first="Natalya F." last="Noy">Natalya F. Noy</name><affiliation wicri:level="2"><nlm:aff id="A1">Stanford Center for Biomedical Informatics Research, Stanford University, 251 Campus Drive, Stanford, CA 94305-5479, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Stanford Center for Biomedical Informatics Research, Stanford University, 251 Campus Drive, Stanford, CA 94305-5479</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Musen, Mark A" sort="Musen, Mark A" uniqKey="Musen M" first="Mark A." last="Musen">Mark A. Musen</name><affiliation wicri:level="2"><nlm:aff id="A1">Stanford Center for Biomedical Informatics Research, Stanford University, 251 Campus Drive, Stanford, CA 94305-5479, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Stanford Center for Biomedical Informatics Research, Stanford University, 251 Campus Drive, Stanford, CA 94305-5479</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Shah, Nigam H" sort="Shah, Nigam H" uniqKey="Shah N" first="Nigam H." last="Shah">Nigam H. Shah</name><affiliation wicri:level="2"><nlm:aff id="A1">Stanford Center for Biomedical Informatics Research, Stanford University, 251 Campus Drive, Stanford, CA 94305-5479, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Stanford Center for Biomedical Informatics Research, Stanford University, 251 Campus Drive, Stanford, CA 94305-5479</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author></analytic><series><title level="j">Web semantics (Online)</title><idno type="ISSN">1570-8268</idno><idno type="eISSN">1873-7749</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Web sémantique</term></keywords><keywords scheme="mix" xml:lang="en"><term>Semantic Web</term><term>biomedical data</term><term>biomedical ontologies</term><term>data integration</term><term>information mining</term><term>information retrieval</term><term>ontology-based indexing</term><term>semantic annotation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P2">The volume of publicly available data in biomedicine is constantly increasing. However, these data are stored in different formats and on different platforms. Integrating these data will enable us to facilitate the pace of medical discoveries by providing scientists with a unified view of this diverse information. Under the auspices of the National Center for Biomedical Ontology (NCBO), we have developed the Resource Index—a growing, large-scale ontology-based index of more than twenty heterogeneous biomedical resources. The resources come from a variety of repositories maintained by organizations from around the world. We use a set of over 200 publicly available ontologies contributed by researchers in various domains to annotate the elements in these resources. We use the semantics that the ontologies encode, such as different properties of classes, the class hierarchies, and the mappings between ontologies, in order to improve the search experience for the Resource Index user. Our user interface enables scientists to search the multiple resources quickly and efficiently using domain terms, without even being aware that there is semantics “under the hood.”</p></div></front></TEI><affiliations><list><country><li>France</li><li>États-Unis</li></country><region><li>Californie</li><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Vandœuvre-lès-Nancy</li></settlement></list><tree><country name="États-Unis"><region name="Californie"><name sortKey="Jonquet, Clement" sort="Jonquet, Clement" uniqKey="Jonquet C" first="Clement" last="Jonquet">Clement Jonquet</name></region><name sortKey="Coulet, Adrien" sort="Coulet, Adrien" uniqKey="Coulet A" first="Adrien" last="Coulet">Adrien Coulet</name><name sortKey="Falconer, Sean" sort="Falconer, Sean" uniqKey="Falconer S" first="Sean" last="Falconer">Sean Falconer</name><name sortKey="Lependu, Paea" sort="Lependu, Paea" uniqKey="Lependu P" first="Paea" last="Lependu">Paea Lependu</name><name sortKey="Musen, Mark A" sort="Musen, Mark A" uniqKey="Musen M" first="Mark A." last="Musen">Mark A. Musen</name><name sortKey="Noy, Natalya F" sort="Noy, Natalya F" uniqKey="Noy N" first="Natalya F." last="Noy">Natalya F. Noy</name><name sortKey="Shah, Nigam H" sort="Shah, Nigam H" uniqKey="Shah N" first="Nigam H." last="Shah">Nigam H. Shah</name></country><country name="France"><noRegion><name sortKey="Jonquet, Clement" sort="Jonquet, Clement" uniqKey="Jonquet C" first="Clement" last="Jonquet">Clement Jonquet</name></noRegion><name sortKey="Coulet, Adrien" sort="Coulet, Adrien" uniqKey="Coulet A" first="Adrien" last="Coulet">Adrien Coulet</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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