An ontology for drug-drug interactions

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Show simple item record Herrero Zazo, María Hastings, Janna Segura Bedmar, Isabel Croset, Samuel Martínez, Paloma Steinbeck, Christoph 2015-04-23T10:27:26Z 2015-04-23T10:27:26Z 2014-01
dc.identifier.bibliographicCitation Semantic Web Applications and Tools for Life Sciences 1114 (2014), pp. 1-15
dc.identifier.issn 1613-0073
dc.description Proceedings 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
dc.description.abstract Drug-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
dc.description.sponsorship This 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).
dc.format.extent 16
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher CEUR
dc.rights © Authors
dc.subject.other Ontology
dc.subject.other Drug-drug interactions
dc.subject.other Text mining
dc.subject.other Semantics
dc.subject.other Pharma-cology
dc.title An ontology for drug-drug interactions
dc.type article
dc.type conferenceObject
dc.description.status Publicado
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2009/TIC-1542/MA2VICMR
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/612336
dc.type.version publishedVersion
dc.relation.eventdate 2013 December, 11-12
dc.relation.eventnumber 6
dc.relation.eventplace Edinburgh (Reino Unido)
dc.relation.eventtitle International Workshop on Semantic Web Applications and Tools for Life Sciences (SWAT4LS)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 15
dc.identifier.publicationtitle Semantic Web Applications and Tools for Life Sciences
dc.identifier.publicationvolume 1114
dc.identifier.uxxi CC/0000021546
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