Biological Ontologies and Semantic Biology

dc.creatorHancock, John
dc.date.accessioned2020-10-06T15:52:42Z
dc.date.available2020-10-06T15:52:42Z
dc.date.created2014
dc.description.abstractenglishAs the amount of biological information and its diversity accumulates massively there is a critical need to facilitate the integration of this data to allow new and unexpected conclusions to be drawn from it. The Semantic Web is a new wave of web- based technologies that allows the linking of data between diverse data sets via standardised data formats (“big data”). Semantic Biology is the application of semantic web technology in the biological domain (including medical and health informatics). The Special Topic encompasses papers in this very broad area, including not only ontologies (development and applications), but also text mining, data integration and data analysis making use of the technologies of the Semantic Web. Ontologies are a critical requirement for such integration as they allow conclusions drawn about biological experiments, or descriptions of biological entities, to be understandable and integratable despite being contained in different databases and analysed by different software systems. Ontologies are the standard structures used in biology, and more broadly in computer science, to hold standardized terminologies for particular domains of knowledge. Ontologies consist of sets of standard terms, which are defined and may have synonyms for ease of searching and to accommodate different usages by different communities. These terms are linked by standard relationships, such as “is_a” (an eye “is_a” sense organ) or “part_of” (an eye is “part_of” a head). By linking terms in this way, more detailed, or granular, terms can be linked to broader terms, allowing computation to be carried out that takes these relationships into account.spa
dc.format.extent107 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.doi10.3389/978-2-88919-277-9
dc.identifier.isbn978-2-88919-277-9
dc.identifier.issn1664-8714
dc.identifier.otherhttps://www.frontiersin.org/research-topics/380/biological-ontologies-and-semantic-biology
dc.identifier.urihttps://hdl.handle.net/20.500.12010/14243
dc.language.isoengspa
dc.publisherFrontiers Media SAspa
dc.relation.referencesHancock JM (2014) Editorial: biological ontologies and semantic biology. doi: 10.3389/fgene.2014.00018
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by/4.0/
dc.rights.localAbierto (Texto Completo)spa
dc.subjectBotanyspa
dc.subjectBiotechnologyspa
dc.subjectGeneral and civil engineeringspa
dc.subjectGeneticsspa
dc.subjectScience (General)spa
dc.subject.keywordData representationspa
dc.subject.keywordData analysisspa
dc.subject.lembSemantic biologyspa
dc.subject.lembOntologiesspa
dc.subject.lembSemantic Webspa
dc.titleBiological Ontologies and Semantic Biologyspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2f33spa

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
Biological Ontologies and Semantic Biology.PDF
Tamaño:
18.97 MB
Formato:
Adobe Portable Document Format
Descripción:
Ver documento

Bloque de licencias

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
license.txt
Tamaño:
2.87 KB
Formato:
Item-specific license agreed upon to submission
Descripción: