Linked Life Data

18294970

Source:http://linkedlifedata.com/resource/pubmed/id/18294970

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2008-4-4
pubmed:abstractText
Current research in biology heavily depends on the availability and efficient use of information. In order to build new knowledge, various sources of biological data must often be combined. Semantic Web technologies, which provide a common framework allowing data to be shared and reused between applications, can be applied to the management of disseminated biological data. However, due to some specificities of biological data, the application of these technologies to life science constitutes a real challenge. Through a use case of biological data integration, we show in this paper that current Semantic Web technologies start to become mature and can be applied for the development of large applications. However, in order to get the best from these technologies, improvements are needed both at the level of tool performance and knowledge modeling.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0300-9084
pubmed:author
pubmed:issnType
Print
pubmed:volume
90
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
584-94
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Biological data integration using Semantic Web technologies.
pubmed:affiliation
Institute of Developmental Biology and Cancer, University of Nice Sophia-Antipolis, Parc Valrose, 06108 NICE Cedex 2, France. claude.pasquier@unice.fr
pubmed:publicationType
Journal Article