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dc.contributor.authorAbbas, Raees
dc.date.accessioned2017-09-15T09:38:55Z
dc.date.available2017-09-15T09:38:55Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/11250/2454829
dc.descriptionMaster's thesis Information- and communication technology IKT590 - University of Agder 2017nb_NO
dc.description.abstractFEST is a Norwegian database and information service aimed towards providing all the required pharmaceutical data to different stakeholders such as hospitals, pharmaceutical companies, and practitioners. FEST being a complete pharmaceutical database, ensures every information related to drugs such as dosage, form of drug, interactions, and brand. FEST database is represented as an XML and schema files. In this master thesis, we propose an open and linked data representation approach of FEST database by modelling it as an Ontology. We propose the integration of FEST ontology with other systems and ontologies for semantic interoperability which is one of the main challenge in current e-health world. We propose in this thesis a method for the representation of drug-drug interaction in context with patient’s family member history. We will use SPARQL queries on existing data in FEST ontology to generate implicit information about possible drug-drug interaction. Using the existing drug interactions in FEST, we will represent a method to classify those interactions according to different interaction mechanisms.nb_NO
dc.language.isoengnb_NO
dc.publisherUniversitetet i Agder ; University of Agdernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectIKT590nb_NO
dc.titleOntological Modelling of FEST with support for DDI Reasoningnb_NO
dc.typeMaster thesisnb_NO
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Databaser og multimediasystemer: 428nb_NO
dc.source.pagenumber212 p.nb_NO


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal