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Using Semantic Web Technologies and Multi-agent System for Multi-dimensional Analysis of Open Health Data

dc.rights.licenseopenen_US
dc.contributor.authorEL HAJJAMI, S.
dc.contributor.authorBERRADA, M.
dc.contributor.authorHARTI, M.
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorDIALLO, Abdourahmane Gayo
ORCID: 0000-0002-9799-9484
IDREF: 112800084
dc.date.accessioned2021-01-25T09:26:24Z
dc.date.available2021-01-25T09:26:24Z
dc.date.issued2020
dc.identifier.issn0219-6492 1793-6926en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/25970
dc.description.abstractEnRecent years have seen Social Web becoming a global phenomenon, which is being increasingly important in our daily lives. Millions of users are chatting on the Web and social networks and expressing their feelings and opinions about the latest outbreaks, symptoms, illnesses and new drugs. These opinions contain a large amount of data, which are destined to become a major source of information for business intelligence, as they are largely informative and therefore interesting to be dealt with in a decision-making process, in order to evaluate and improve the performance of health system. However, this source of information is currently underutilised. This work describes an approach to creating an analytical health framework that allows the integration and multi-dimensional analysis of available health data, with particular attention to socially generated data, using Semantic Web (SW) technologies and multi-agent systems.
dc.language.isoENen_US
dc.subjectERIAS
dc.title.enUsing Semantic Web Technologies and Multi-agent System for Multi-dimensional Analysis of Open Health Data
dc.title.alternativeJ Inf Knowl Managementen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1142/s0219649220500215en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
bordeaux.journalJournal of Information and Knowledge Managementen_US
bordeaux.page2050021en_US
bordeaux.volume19en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue3en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.teamERIASen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03119819
hal.version1
hal.date.transferred2021-01-25T09:26:29Z
hal.exporttrue
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