Cargando…

Ontology Based Document Enrichment in Bioinformatics

Controlled vocabularies are common within bioinformatics resources. They can be used to give a summary of the knowledge held about a particular entity. They are also used to constrain values given for particular attributes of an entity. This helps create a shared understanding of a domain and aids i...

Descripción completa

Detalles Bibliográficos
Autor principal: Stevens, Robert
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2002
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447236/
https://www.ncbi.nlm.nih.gov/pubmed/18628876
http://dx.doi.org/10.1002/cfg.141
_version_ 1782156889703841792
author Stevens, Robert
author_facet Stevens, Robert
author_sort Stevens, Robert
collection PubMed
description Controlled vocabularies are common within bioinformatics resources. They can be used to give a summary of the knowledge held about a particular entity. They are also used to constrain values given for particular attributes of an entity. This helps create a shared understanding of a domain and aids increased precision and recall during querying of resources. Ontologies can also provide such facilities, but can also enhance their utility. Controlled vocabularies are often simply lists of words, but may be viewed as a kind of ontology. Ideally ontologies are structurally enriched with relationships between terms within the vocabulary. Use of such rich forms of vocabularies in database annotation could enhance those resources usability by both humans and computers. The representation of the knowledge content of biological resources in a computationally accessible form opens the prospect of greater support for a biologist investigating new data.
format Text
id pubmed-2447236
institution National Center for Biotechnology Information
language English
publishDate 2002
publisher Hindawi Publishing Corporation
record_format MEDLINE/PubMed
spelling pubmed-24472362008-07-14 Ontology Based Document Enrichment in Bioinformatics Stevens, Robert Comp Funct Genomics Research Article Controlled vocabularies are common within bioinformatics resources. They can be used to give a summary of the knowledge held about a particular entity. They are also used to constrain values given for particular attributes of an entity. This helps create a shared understanding of a domain and aids increased precision and recall during querying of resources. Ontologies can also provide such facilities, but can also enhance their utility. Controlled vocabularies are often simply lists of words, but may be viewed as a kind of ontology. Ideally ontologies are structurally enriched with relationships between terms within the vocabulary. Use of such rich forms of vocabularies in database annotation could enhance those resources usability by both humans and computers. The representation of the knowledge content of biological resources in a computationally accessible form opens the prospect of greater support for a biologist investigating new data. Hindawi Publishing Corporation 2002-02 /pmc/articles/PMC2447236/ /pubmed/18628876 http://dx.doi.org/10.1002/cfg.141 Text en Copyright © 2002 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Stevens, Robert
Ontology Based Document Enrichment in Bioinformatics
title Ontology Based Document Enrichment in Bioinformatics
title_full Ontology Based Document Enrichment in Bioinformatics
title_fullStr Ontology Based Document Enrichment in Bioinformatics
title_full_unstemmed Ontology Based Document Enrichment in Bioinformatics
title_short Ontology Based Document Enrichment in Bioinformatics
title_sort ontology based document enrichment in bioinformatics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2447236/
https://www.ncbi.nlm.nih.gov/pubmed/18628876
http://dx.doi.org/10.1002/cfg.141
work_keys_str_mv AT stevensrobert ontologybaseddocumentenrichmentinbioinformatics