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An ontology for drug-drug interactions

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Human Language and Accessibility Technologies (HULAT)es
dc.contributor.authorHerrero Zazo, María
dc.contributor.authorHastings, Janna
dc.contributor.authorSegura-Bedmar, Isabel
dc.contributor.authorCroset, Samuel
dc.contributor.authorMartínez Fernández, Paloma
dc.contributor.authorSteinbeck, Christoph
dc.date.accessioned2015-04-23T10:27:26Z
dc.date.available2015-04-23T10:27:26Z
dc.date.issued2014-01
dc.descriptionProceedings of: The 6th International Workshop on Semantic Web Applications and Tools for Life Sciences (SWAT4LS 2013). Took place 2013, December 11-12, in Edinburgh, UK. The evnt Web site http://www.swat4ls.org/workshops/edinburgh2013/en
dc.description.abstractDrug-drug interactions form a significant risk group for adverse effects associ-ated with pharmaceutical treatment. These interactions are often reported in the literature, however, they are sparsely represented in machine-readable re-sources, such as online databases, thesauri or ontologies. These knowledge sources play a pivotal role in Natural Language Processing (NLP) systems since they provide a knowledge representation about the world or a particular do-main. While ontologies for drugs and their effects have proliferated in recent years, there is no ontology capable of describing and categorizing drug-drug in-teractions. Moreover, there is no artifact that represents all the possible mecha-nisms that can lead to a DDI. To fill this gap we propose DINTO, an ontology for drug-drug interactions and their mechanisms. In this paper we describe the classes, relationships and overall structure of DINTO. The ontology is free for use and available at https://code.google.com/p/dinto/en
dc.description.sponsorshipThis work was supported by the Regional Government of Madrid under the Research Network MA2VICMR [S2009/TIC-1542], by the Spanish Ministry of Education under the project MULTIMEDICA [TIN2010-20644-C03-01] and by the European Commission Seventh Framework Programme under the project TrendMiner_Enlarged (EU FP7-ICT 612336).en
dc.description.statusPublicado
dc.format.extent16
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationSemantic Web Applications and Tools for Life Sciences 1114 (2014), pp. 1-15en
dc.identifier.issn1613-0073
dc.identifier.publicationfirstpage1
dc.identifier.publicationlastpage15
dc.identifier.publicationtitleSemantic Web Applications and Tools for Life Sciencesen
dc.identifier.publicationvolume1114
dc.identifier.urihttps://hdl.handle.net/10016/20475
dc.identifier.uxxiCC/0000021546
dc.language.isoeng
dc.publisherCEURen
dc.relation.eventdate2013 December, 11-12en
dc.relation.eventnumber6
dc.relation.eventplaceEdinburgh (Reino Unido)es
dc.relation.eventtitleInternational Workshop on Semantic Web Applications and Tools for Life Sciences (SWAT4LS)en
dc.relation.projectIDComunidad de Madrid. S2009/TIC-1542/MA2VICMR
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/612336
dc.relation.publisherversionhttp://ceur-ws.org/Vol-1114/Session3_Herrero-Zazo.pdf
dc.rights© Authorsen
dc.rights.accessRightsopen access
dc.subject.ecienciaInformáticaes
dc.subject.otherOntologyen
dc.subject.otherDrug-drug interactionsen
dc.subject.otherText miningen
dc.subject.otherSemanticsen
dc.subject.otherPharma-cologyen
dc.titleAn ontology for drug-drug interactionsen
dc.typeconference paper*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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