Evidence map›Paper›PMID 25926964›Full record

ArticleJournal of biomedical semantics2015

Capturing domain knowledge from multiple sources: the rare bone disorders use case.

Tudor Groza, Tania Tudorache, Peter N Robinson, Andreas Zankl

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tudor GrozaSchool of ITEE, The University of Queensland, St Lucia, Australia.
Tania TudoracheStanford Center for Biomedical Informatics Research, Stanford University, Stanford, USA.
Peter N RobinsonInstitut für Medizinische Genetik und Humangenetik, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Andreas ZanklChildren's Hospital, Westmead, The University of Sydney, Sydney, New South Wales Australia.

Funding

Collaborative Development of Biomedical Ontologies and TerminologiesR01GM086587 · NIGMS · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2009 to 2016
$4.1M
Protege: An Ontology-Development Platform for Biomedical ScientistsR01GM103316 · NIGMS · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2013 to 2016
$2.1M
NIGMS NIH HHS R01 GM086587NIGMS NIH HHS R01 GM103316
6 · The paper itself

Abstract

backgroundLately, ontologies have become a fundamental building block in the process of formalising and storing complex biomedical information. The community-driven ontology curation process, however, ignores the possibility of multiple communities building, in parallel, conceptualisations of the same domain, and thus providing slightly different perspectives on the same knowledge. The individual nature of this effort leads to the need of a mechanism to enable us to create an overarching and comprehensive overview of the different perspectives on the domain knowledge.

resultsWe introduce an approach that enables the loose integration of knowledge emerging from diverse sources under a single coherent interoperable resource. To accurately track the original knowledge statements, we record the provenance at very granular levels. We exemplify the approach in the rare bone disorders domain by proposing the Rare Bone Disorders Ontology (RBDO). Using RBDO, researchers are able to answer queries, such as: "What phenotypes describe a particular disorder and are common to all sources?" or to understand similarities between disorders based on divergent groupings (classifications) provided by the underlying sources. AVAILABILITY: RBDO is available at http://purl.org/skeletome/rbdo. In order to support lightweight query and integration, the knowledge captured by RBDO has also been made available as a SPARQL Endpoint at http://bio-lark.org/se_skeldys.html.

Identifiers

PMID25926964
PMCPMC4414390

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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.