TU Darmstadt / ULB / TUbiblio

Text mining resources for the life sciences

Przybyła, Piotr ; Shardlow, Matthew ; Aubin, Sophie ; Bossy, Robert ; Eckart de Castilho, Richard ; Piperidis, Stelios ; McNaught, John ; Ananiadou, Sophia (2016)
Text mining resources for the life sciences.
In: Database, 2016
doi: 10.1093/database/baw145
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable—those that have the crucial ability to share information, enabling smooth integration and reusability.

Typ des Eintrags: Artikel
Erschienen: 2016
Autor(en): Przybyła, Piotr ; Shardlow, Matthew ; Aubin, Sophie ; Bossy, Robert ; Eckart de Castilho, Richard ; Piperidis, Stelios ; McNaught, John ; Ananiadou, Sophia
Art des Eintrags: Bibliographie
Titel: Text mining resources for the life sciences
Sprache: Englisch
Publikationsjahr: November 2016
Verlag: Oxford Academic
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Database
Jahrgang/Volume einer Zeitschrift: 2016
DOI: 10.1093/database/baw145
URL / URN: http://database.oxfordjournals.org/content/2016/baw145.full....
Kurzbeschreibung (Abstract):

Text mining is a powerful technology for quickly distilling key information from vast quantities of biomedical literature. However, to harness this power the researcher must be well versed in the availability, suitability, adaptability, interoperability and comparative accuracy of current text mining resources. In this survey, we give an overview of the text mining resources that exist in the life sciences to help researchers, especially those employed in biocuration, to engage with text mining in their own work. We categorize the various resources under three sections: Content Discovery looks at where and how to find biomedical publications for text mining; Knowledge Encoding describes the formats used to represent the different levels of information associated with content that enable text mining, including those formats used to carry such information between processes; Tools and Services gives an overview of workflow management systems that can be used to rapidly configure and compare domain- and task-specific processes, via access to a wide range of pre-built tools. We also provide links to relevant repositories in each section to enable the reader to find resources relevant to their own area of interest. Throughout this work we give a special focus to resources that are interoperable—those that have the crucial ability to share information, enabling smooth integration and reusability.

Freie Schlagworte: UKP_reviewed;UKP_p_OpenMinTeD;UKP_a_LangTech4eHum
ID-Nummer: TUD-CS-2016-14665
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen
Hinterlegungsdatum: 31 Dez 2016 14:29
Letzte Änderung: 03 Jan 2019 11:01
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen