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Word add-in for ontology recognition: semantic enrichment of scientific literature.

Identifieur interne : 000065 ( PubMed/Corpus ); précédent : 000064; suivant : 000066

Word add-in for ontology recognition: semantic enrichment of scientific literature.

Auteurs : J Lynn Fink ; Pablo Fernicola ; Rahul Chandran ; Savas Parastatidis ; Alex Wade ; Oscar Naim ; Gregory B. Quinn ; Philip E. Bourne

Source :

RBID : pubmed:20181245

English descriptors

Abstract

In the current era of scientific research, efficient communication of information is paramount. As such, the nature of scholarly and scientific communication is changing; cyberinfrastructure is now absolutely necessary and new media are allowing information and knowledge to be more interactive and immediate. One approach to making knowledge more accessible is the addition of machine-readable semantic data to scholarly articles.

DOI: 10.1186/1471-2105-11-103
PubMed: 20181245

Links to Exploration step

pubmed:20181245

Le document en format XML

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<name sortKey="Fernicola, Pablo" sort="Fernicola, Pablo" uniqKey="Fernicola P" first="Pablo" last="Fernicola">Pablo Fernicola</name>
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<name sortKey="Chandran, Rahul" sort="Chandran, Rahul" uniqKey="Chandran R" first="Rahul" last="Chandran">Rahul Chandran</name>
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<name sortKey="Wade, Alex" sort="Wade, Alex" uniqKey="Wade A" first="Alex" last="Wade">Alex Wade</name>
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<div type="abstract" xml:lang="en">In the current era of scientific research, efficient communication of information is paramount. As such, the nature of scholarly and scientific communication is changing; cyberinfrastructure is now absolutely necessary and new media are allowing information and knowledge to be more interactive and immediate. One approach to making knowledge more accessible is the addition of machine-readable semantic data to scholarly articles.</div>
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<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">In the current era of scientific research, efficient communication of information is paramount. As such, the nature of scholarly and scientific communication is changing; cyberinfrastructure is now absolutely necessary and new media are allowing information and knowledge to be more interactive and immediate. One approach to making knowledge more accessible is the addition of machine-readable semantic data to scholarly articles.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">The Word add-in presented here will assist authors in this effort by automatically recognizing and highlighting words or phrases that are likely information-rich, allowing authors to associate semantic data with those words or phrases, and to embed that data in the document as XML. The add-in and source code are publicly available at http://www.codeplex.com/UCSDBioLit.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The Word add-in for ontology term recognition makes it possible for an author to add semantic data to a document as it is being written and it encodes these data using XML tags that are effectively a standard in life sciences literature. Allowing authors to mark-up their own work will help increase the amount and quality of machine-readable literature metadata.</AbstractText>
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