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. 2010 Jun 1;26(12):i88–i96. doi: 10.1093/bioinformatics/btq188

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© The Author(s) 2010. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 2. — The mean percentage of generated terms from UMLS, MeSH, OBO and GO in the top-k ranked generated terms and their distance to the randomly selected query MeSH term used to retrieve 250 PubMed abstracts. The generated terms show both, a high proportion of terms similar to existing ontology terms, justifying the notion of noun phrases as term candidates, and a certain variance of distances of generated terms to the query MeSH term, thus mapping out the neighbourhood of the query MeSH term as well as addressing other aspects of the document set.