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eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment

Engineered nanomaterials (ENMs) are being developed to meet specific application needs in diverse domains across the engineering and biomedical sciences (e.g. drug delivery). However, accompanying the exciting proliferation of novel nanomaterials is a challenging race to understand and predict their...

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Autores principales: Hastings, Janna, Jeliazkova, Nina, Owen, Gareth, Tsiliki, Georgia, Munteanu, Cristian R, Steinbeck, Christoph, Willighagen, Egon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374589/
https://www.ncbi.nlm.nih.gov/pubmed/25815161
http://dx.doi.org/10.1186/s13326-015-0005-5
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author Hastings, Janna
Jeliazkova, Nina
Owen, Gareth
Tsiliki, Georgia
Munteanu, Cristian R
Steinbeck, Christoph
Willighagen, Egon
author_facet Hastings, Janna
Jeliazkova, Nina
Owen, Gareth
Tsiliki, Georgia
Munteanu, Cristian R
Steinbeck, Christoph
Willighagen, Egon
author_sort Hastings, Janna
collection PubMed
description Engineered nanomaterials (ENMs) are being developed to meet specific application needs in diverse domains across the engineering and biomedical sciences (e.g. drug delivery). However, accompanying the exciting proliferation of novel nanomaterials is a challenging race to understand and predict their possibly detrimental effects on human health and the environment. The eNanoMapper project (www.enanomapper.net) is creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. Here, we describe the development of the eNanoMapper ontology based on adopting and extending existing ontologies of relevance for the nanosafety domain. The resulting eNanoMapper ontology is available at http://purl.enanomapper.net/onto/enanomapper.owl. We aim to make the re-use of external ontology content seamless and thus we have developed a library to automate the extraction of subsets of ontology content and the assembly of the subsets into an integrated whole. The library is available (open source) at http://github.com/enanomapper/slimmer/. Finally, we give a comprehensive survey of the domain content and identify gap areas. ENM safety is at the boundary between engineering and the life sciences, and at the boundary between molecular granularity and bulk granularity. This creates challenges for the definition of key entities in the domain, which we also discuss.
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spelling pubmed-43745892015-03-27 eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment Hastings, Janna Jeliazkova, Nina Owen, Gareth Tsiliki, Georgia Munteanu, Cristian R Steinbeck, Christoph Willighagen, Egon J Biomed Semantics Research Engineered nanomaterials (ENMs) are being developed to meet specific application needs in diverse domains across the engineering and biomedical sciences (e.g. drug delivery). However, accompanying the exciting proliferation of novel nanomaterials is a challenging race to understand and predict their possibly detrimental effects on human health and the environment. The eNanoMapper project (www.enanomapper.net) is creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. Here, we describe the development of the eNanoMapper ontology based on adopting and extending existing ontologies of relevance for the nanosafety domain. The resulting eNanoMapper ontology is available at http://purl.enanomapper.net/onto/enanomapper.owl. We aim to make the re-use of external ontology content seamless and thus we have developed a library to automate the extraction of subsets of ontology content and the assembly of the subsets into an integrated whole. The library is available (open source) at http://github.com/enanomapper/slimmer/. Finally, we give a comprehensive survey of the domain content and identify gap areas. ENM safety is at the boundary between engineering and the life sciences, and at the boundary between molecular granularity and bulk granularity. This creates challenges for the definition of key entities in the domain, which we also discuss. BioMed Central 2015-03-21 /pmc/articles/PMC4374589/ /pubmed/25815161 http://dx.doi.org/10.1186/s13326-015-0005-5 Text en © Hastings 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
Hastings, Janna
Jeliazkova, Nina
Owen, Gareth
Tsiliki, Georgia
Munteanu, Cristian R
Steinbeck, Christoph
Willighagen, Egon
eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment
title eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment
title_full eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment
title_fullStr eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment
title_full_unstemmed eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment
title_short eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment
title_sort enanomapper: harnessing ontologies to enable data integration for nanomaterial risk assessment
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374589/
https://www.ncbi.nlm.nih.gov/pubmed/25815161
http://dx.doi.org/10.1186/s13326-015-0005-5
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