Evidence map›Paper›PMID 16779163›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2005

Alignment of multiple ontologies of anatomy: deriving indirect mappings from direct mappings to a reference.

Songmao Zhang, Olivier Bodenreider

Abstract readComparative Study
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. A review of auditing techniques for the Unified Medical Language System.Journal of the American Medical Informatics Association : JAMIA · 2020
    Review
  2. Article
  3. Article
  4. Creating mappings for ontologies in biomedicine: simple methods work.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2009
    Article
  5. Article
  6. Article
  7. Article
  8. Experience in Aligning Anatomical Ontologies.International journal on Semantic Web and information systems · 2007
    Article
  9. Article
  10. A multi-part matching strategy for mapping LOINC with laboratory terminologies.Journal of the American Medical Informatics Association : JAMIA
    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

2 authors.

Songmao ZhangU. S. National Library of Medicine, Bethesda, Maryland, National Institutes of Health, Department of Health & Human Services, USA. smhang@math.ac.cn
Olivier Bodenreider

Funding

Intramural NIH HHS Z99 LM999999
6 · The paper itself

Abstract

objectiveTo investigate the indirect alignment of two anatomical ontologies through a reference ontology and to compare it to direct alignment between these two ontologies. The ontologies under investigation are the Adult Mouse Anatomical Dictionary (MA) and the NCI Thesaurus (NCI). The Foundational Model of Anatomy serves as reference ontology.

methodsThe direct alignment employs a combination of lexical and structural similarity. The indirect alignment simply derives mappings from direct alignments to the reference ontology.

resultsThe indirect MA-NCI alignment yielded 703 mappings and the direct alignment 715, 654 of which are common to both. The mappings specific to one approach were analyzed.

conclusionsWhen a reference ontology exists, indirect alignment of multiple ontologies through a reference represents a valid, cost-effective alternative to pairwise alignment.

Indexed as

Vocabulary, ControlledAnatomyAnimalsHumansMiceModels, AnatomicNational Institutes of Health (U.S.)NeoplasmsUnited States

Identifiers

PMID16779163
PMCPMC1560629

What OpenQuestion holds

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Registered trials

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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.