Evidence map›Paper›PMID 19478019›Full record

ArticleBioinformatics (Oxford, England)2009

Alignment of the UMLS semantic network with BioTop: methodology and assessment.

Stefan Schulz, Elena Beisswanger, László van den Hoek, Olivier Bodenreider, Erik M van Mulligen

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. A review of auditing techniques for the Unified Medical Language System.Journal of the American Medical Informatics Association : JAMIA · 2020
    Review
  3. Article
  4. CellFinder: a cell data repository.Nucleic acids research · 2014
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The RIKEN integrated database of mammals.Nucleic acids research · 2011
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Stefan SchulzInstitute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, Freiburg, Germany. stschulz@uni-freiburg.de
Elena Beisswanger
László van den Hoek
Olivier Bodenreider
Erik M van Mulligen

Funding

Intramural NIH HHS Z99 LM999999
6 · The paper itself

Abstract

motivationFor many years, the Unified Medical Language System (UMLS) semantic network (SN) has been used as an upper-level semantic framework for the categorization of terms from terminological resources in biomedicine. BioTop has recently been developed as an upper-level ontology for the biomedical domain. In contrast to the SN, it is founded upon strict ontological principles, using OWL DL as a formal representation language, which has become standard in the semantic Web. In order to make logic-based reasoning available for the resources annotated or categorized with the SN, a mapping ontology was developed aligning the SN with BioTop.

methodsThe theoretical foundations and the practical realization of the alignment are being described, with a focus on the design decisions taken, the problems encountered and the adaptations of BioTop that became necessary. For evaluation purposes, UMLS concept pairs obtained from MEDLINE abstracts by a named entity recognition system were tested for possible semantic relationships. Furthermore, all semantic-type combinations that occur in the UMLS Metathesaurus were checked for satisfiability.

resultsThe effort-intensive alignment process required major design changes and enhancements of BioTop and brought up several design errors that could be fixed. A comparison between a human curator and the ontology yielded only a low agreement. Ontology reasoning was also used to successfully identify 133 inconsistent semantic-type combinations. AVAILABILITY: BioTop, the OWL DL representation of the UMLS SN, and the mapping ontology are available at http://www.purl.org/biotop/.

Indexed as

Computational BiologyDatabases, FactualInformation Storage and RetrievalPattern Recognition, AutomatedSemanticsUnified Medical Language SystemVocabulary, Controlled

Identifiers

PMID19478019
PMCPMC2687948

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.