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Capturing domain knowledge from multiple sources: the rare bone disorders use case
BACKGROUND: Lately, 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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4414390/ https://www.ncbi.nlm.nih.gov/pubmed/25926964 http://dx.doi.org/10.1186/s13326-015-0008-2 |
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author | Groza, Tudor Tudorache, Tania Robinson, Peter N Zankl, Andreas |
author_facet | Groza, Tudor Tudorache, Tania Robinson, Peter N Zankl, Andreas |
author_sort | Groza, Tudor |
collection | PubMed |
description | BACKGROUND: Lately, 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. RESULTS: We 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. |
format | Online Article Text |
id | pubmed-4414390 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44143902015-04-30 Capturing domain knowledge from multiple sources: the rare bone disorders use case Groza, Tudor Tudorache, Tania Robinson, Peter N Zankl, Andreas J Biomed Semantics Research Article BACKGROUND: Lately, 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. RESULTS: We 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. BioMed Central 2015-04-17 /pmc/articles/PMC4414390/ /pubmed/25926964 http://dx.doi.org/10.1186/s13326-015-0008-2 Text en © Groza et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Groza, Tudor Tudorache, Tania Robinson, Peter N Zankl, Andreas Capturing domain knowledge from multiple sources: the rare bone disorders use case |
title | Capturing domain knowledge from multiple sources: the rare bone disorders use case |
title_full | Capturing domain knowledge from multiple sources: the rare bone disorders use case |
title_fullStr | Capturing domain knowledge from multiple sources: the rare bone disorders use case |
title_full_unstemmed | Capturing domain knowledge from multiple sources: the rare bone disorders use case |
title_short | Capturing domain knowledge from multiple sources: the rare bone disorders use case |
title_sort | capturing domain knowledge from multiple sources: the rare bone disorders use case |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4414390/ https://www.ncbi.nlm.nih.gov/pubmed/25926964 http://dx.doi.org/10.1186/s13326-015-0008-2 |
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