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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2008-3-4
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pubmed:abstractText |
The indexing of scientific literature and content is a relevant and contemporary requirement within life science information systems. Navigating information available in legacy formats continues to be a challenge both in enterprise and academic domains. The emergence of semantic web technologies and their fusion with artificial intelligence techniques has provided a new toolkit with which to address these data integration challenges. In the emerging field of lipidomics such navigation challenges are barriers to the translation of scientific results into actionable knowledge, critical to the treatment of diseases such as Alzheimer's syndrome, Mycobacterium infections and cancer.
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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:chemical |
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2105
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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 |
S5
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pubmed:dateRevised |
2009-11-18
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pubmed:meshHeading |
pubmed-meshheading:18315858-Abstracting and Indexing as Topic,
pubmed-meshheading:18315858-Artificial Intelligence,
pubmed-meshheading:18315858-Bibliometrics,
pubmed-meshheading:18315858-Database Management Systems,
pubmed-meshheading:18315858-Databases, Factual,
pubmed-meshheading:18315858-Humans,
pubmed-meshheading:18315858-Information Storage and Retrieval,
pubmed-meshheading:18315858-Lipid Metabolism,
pubmed-meshheading:18315858-Lipids,
pubmed-meshheading:18315858-Metabolic Diseases,
pubmed-meshheading:18315858-Natural Language Processing,
pubmed-meshheading:18315858-Periodicals as Topic
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pubmed:year |
2008
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pubmed:articleTitle |
Towards ontology-driven navigation of the lipid bibliosphere.
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pubmed:affiliation |
Department of Data Mining, Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613. cbaker@i2r.a-star.edu.sg
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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