Cargando…

Which gene did you mean?

Computational Biology needs computer-readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput experiments and other investigations that yield massive data sets. Semantic enrichment of plain text is crucial for computer a...

Descripción completa

Detalles Bibliográficos
Autor principal: Mons, Barend
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1173089/
https://www.ncbi.nlm.nih.gov/pubmed/15941477
http://dx.doi.org/10.1186/1471-2105-6-142
_version_ 1782124454098239488
author Mons, Barend
author_facet Mons, Barend
author_sort Mons, Barend
collection PubMed
description Computational Biology needs computer-readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput experiments and other investigations that yield massive data sets. Semantic enrichment of plain text is crucial for computer aided analysis. In general people will think about semantic tagging as just another form of text mining, and that term has quite a negative connotation in the minds of some biologists who have been disappointed by classical approaches of text mining. Efforts so far have tried to develop tools and technologies that retrospectively extract the correct information from text, which is usually full of ambiguities. Although remarkable results have been obtained in experimental circumstances, the wide spread use of information mining tools is lagging behind earlier expectations. This commentary proposes to make semantic tagging an integral process to electronic publishing.
format Text
id pubmed-1173089
institution National Center for Biotechnology Information
language English
publishDate 2005
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-11730892005-07-07 Which gene did you mean? Mons, Barend BMC Bioinformatics Commentary Computational Biology needs computer-readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput experiments and other investigations that yield massive data sets. Semantic enrichment of plain text is crucial for computer aided analysis. In general people will think about semantic tagging as just another form of text mining, and that term has quite a negative connotation in the minds of some biologists who have been disappointed by classical approaches of text mining. Efforts so far have tried to develop tools and technologies that retrospectively extract the correct information from text, which is usually full of ambiguities. Although remarkable results have been obtained in experimental circumstances, the wide spread use of information mining tools is lagging behind earlier expectations. This commentary proposes to make semantic tagging an integral process to electronic publishing. BioMed Central 2005-06-07 /pmc/articles/PMC1173089/ /pubmed/15941477 http://dx.doi.org/10.1186/1471-2105-6-142 Text en Copyright © 2005 Mons; licensee BioMed Central Ltd.
spellingShingle Commentary
Mons, Barend
Which gene did you mean?
title Which gene did you mean?
title_full Which gene did you mean?
title_fullStr Which gene did you mean?
title_full_unstemmed Which gene did you mean?
title_short Which gene did you mean?
title_sort which gene did you mean?
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1173089/
https://www.ncbi.nlm.nih.gov/pubmed/15941477
http://dx.doi.org/10.1186/1471-2105-6-142
work_keys_str_mv AT monsbarend whichgenedidyoumean