Extracting conclusion sections from PubMed abstracts for rapid key assertion integration in biomedical research
Correspondence: (Login to view email address)
- Konrad Lorenz Institute for Evolution and Cogntion Research, Austria & DERI, NUI Galway, Ireland.
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- Document Type:
- Manuscript
- Date:
- Received 17 September 2009 10:35 UTC; Posted 21 September 2009
- Subjects:
- Bioinformatics
- Abstract:
Key assertions are extracted from “conclusions” sections of PubMed abstracts and
converted into Semantic Web / Linked Data format. The results are made accessible via
files, a SPARQL endpoint, and a faceted search interface. Conclusion sections are
identified as valuable resources for machine-augmented key assertion identification and
integration in the biomedical domain. Results are discussed and opportunities for future
work and cooperation are highlighted.
Discussion
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3 votes
- Comments:
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1 comment
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Additional information
- License:
- This document is licensed to the public under the Creative Commons Attribution 3.0 License
- How to cite this document:
-
Samwald, Matthias. Extracting conclusion sections from PubMed abstracts for rapid key assertion integration in biomedical research. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2009.3775.1> (2009)
- Version info:
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Tom Hennessy on 31 October 2009 16:36 UTC
I’ve been doing that for almost twenty years and you can do the studies in your head.
Cuts down on the extensive reading one might otherwise have to do.