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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2008-3-27
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pubmed:abstractText |
The technological advances in the past decade have lead to massive progress in the field of biotechnology. The documentation of the progress made exists in the form of research articles. The PubMed is the current most used repository for bio-literature. PubMed consists of about 17 million abstracts as of 2007 that require methods to efficiently retrieve and browse large volume of relevant information. The State-of-the-art technologies such as GOPubmed use simple keyword-based techniques for retrieving abstracts from the PubMed and linking them to the Gene Ontology (GO). This paper changes the paradigm by introducing semantics enabled technique to link the PubMed to the Gene Ontology, called, SEGOPubmed for ontology-based browsing. Latent Semantic Analysis (LSA) framework is used to semantically interface PubMed abstracts to the Gene Ontology.
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pubmed:commentsCorrections |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2164
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
9 Suppl 1
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
S10
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
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pubmed:year |
2008
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pubmed:articleTitle |
Semantically linking and browsing PubMed abstracts with gene ontology.
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pubmed:affiliation |
Electrical and Computer Engineering Department, University of Memphis, Memphis, Tennessee, USA. bcvanter@memphis.edu
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, Non-U.S. Gov't
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