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Evolution of biomedical ontologies and mappings: Overview of recent approaches
Biomedical ontologies are heavily used to annotate data, and different ontologies are often interlinked by ontology mappings. These ontology-based mappings and annotations are used in many applications and analysis tasks. Since biomedical ontologies are continuously updated dependent artifacts can b...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5018063/ https://www.ncbi.nlm.nih.gov/pubmed/27642503 http://dx.doi.org/10.1016/j.csbj.2016.08.002 |
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author | Groß, Anika Pruski, Cédric Rahm, Erhard |
author_facet | Groß, Anika Pruski, Cédric Rahm, Erhard |
author_sort | Groß, Anika |
collection | PubMed |
description | Biomedical ontologies are heavily used to annotate data, and different ontologies are often interlinked by ontology mappings. These ontology-based mappings and annotations are used in many applications and analysis tasks. Since biomedical ontologies are continuously updated dependent artifacts can become outdated and need to undergo evolution as well. Hence there is a need for largely automated approaches to keep ontology-based mappings up-to-date in the presence of evolving ontologies. In this article, we survey current approaches and novel directions in the context of ontology and mapping evolution. We will discuss requirements for mapping adaptation and provide a comprehensive overview on existing approaches. We will further identify open challenges and outline ideas for future developments. |
format | Online Article Text |
id | pubmed-5018063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-50180632016-09-16 Evolution of biomedical ontologies and mappings: Overview of recent approaches Groß, Anika Pruski, Cédric Rahm, Erhard Comput Struct Biotechnol J Short Survey Biomedical ontologies are heavily used to annotate data, and different ontologies are often interlinked by ontology mappings. These ontology-based mappings and annotations are used in many applications and analysis tasks. Since biomedical ontologies are continuously updated dependent artifacts can become outdated and need to undergo evolution as well. Hence there is a need for largely automated approaches to keep ontology-based mappings up-to-date in the presence of evolving ontologies. In this article, we survey current approaches and novel directions in the context of ontology and mapping evolution. We will discuss requirements for mapping adaptation and provide a comprehensive overview on existing approaches. We will further identify open challenges and outline ideas for future developments. Research Network of Computational and Structural Biotechnology 2016-08-26 /pmc/articles/PMC5018063/ /pubmed/27642503 http://dx.doi.org/10.1016/j.csbj.2016.08.002 Text en © 2016 Natrix Separations http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Short Survey Groß, Anika Pruski, Cédric Rahm, Erhard Evolution of biomedical ontologies and mappings: Overview of recent approaches |
title | Evolution of biomedical ontologies and mappings: Overview of recent approaches |
title_full | Evolution of biomedical ontologies and mappings: Overview of recent approaches |
title_fullStr | Evolution of biomedical ontologies and mappings: Overview of recent approaches |
title_full_unstemmed | Evolution of biomedical ontologies and mappings: Overview of recent approaches |
title_short | Evolution of biomedical ontologies and mappings: Overview of recent approaches |
title_sort | evolution of biomedical ontologies and mappings: overview of recent approaches |
topic | Short Survey |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5018063/ https://www.ncbi.nlm.nih.gov/pubmed/27642503 http://dx.doi.org/10.1016/j.csbj.2016.08.002 |
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