Using Semantic Web Technologies and Multi-agent System for Multi-dimensional Analysis of Open Health Data
| dc.rights.license | open | en_US |
| dc.contributor.author | EL HAJJAMI, S. | |
| dc.contributor.author | BERRADA, M. | |
| dc.contributor.author | HARTI, M. | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | DIALLO, Abdourahmane Gayo
ORCID: 0000-0002-9799-9484 IDREF: 112800084 | |
| dc.date.accessioned | 2021-01-25T09:26:24Z | |
| dc.date.available | 2021-01-25T09:26:24Z | |
| dc.date.issued | 2020 | |
| dc.identifier.issn | 0219-6492 1793-6926 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/25970 | |
| dc.description.abstractEn | Recent 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.iso | EN | en_US |
| dc.subject | ERIAS | |
| dc.title.en | Using Semantic Web Technologies and Multi-agent System for Multi-dimensional Analysis of Open Health Data | |
| dc.title.alternative | J Inf Knowl Management | en_US |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1142/s0219649220500215 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
| bordeaux.journal | Journal of Information and Knowledge Management | en_US |
| bordeaux.page | 2050021 | en_US |
| bordeaux.volume | 19 | en_US |
| bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
| bordeaux.issue | 3 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.team | ERIAS | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| hal.identifier | hal-03119819 | |
| hal.version | 1 | |
| hal.date.transferred | 2021-01-25T09:26:29Z | |
| hal.export | true | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Information%20and%20Knowledge%20Management&rft.date=2020&rft.volume=19&rft.issue=3&rft.spage=2050021&rft.epage=2050021&rft.eissn=0219-6492%201793-6926&rft.issn=0219-6492%201793-6926&rft.au=EL%20HAJJAMI,%20S.&BERRADA,%20M.&HARTI,%20M.&DIALLO,%20Abdourahmane%20Gayo&rft.genre=article |
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