Combining Recommendation Techniques with Multi-Agent Systems for Enhancing Dynamic Semantic Web Services Selection and Composition: E-GOV and ITIL Incident Management Case Study

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dc.contributor.advisorNFAOUI El Habib
dc.contributor.authorAmal LATRACHE
dc.date.accessioned2026-09-07T08:58:44Z
dc.date.issued2018
dc.description.cedocSciences et Technologies de l’Information et de Communication
dc.description.collaboratorEL BEQQALI Omar
dc.description.collaboratorYOUSSFI Mohamed
dc.description.collaboratorMADANI Abdellah
dc.description.collaboratorYAHYAOUY Ali
dc.description.collaboratorSATORI Khalid
dc.description.collaboratorBOUMHIDI Jaouad
dc.description.collaboratorNFAOUI El Habib
dc.description.laboratoireLaboratoire Informatique, Imagerie et Analyse Numérique (LIIAN)
dc.identifier.urihttps://toubkal.imist.ma/handle/123456789/659
dc.identifier.urihttps://doi.org/10.83129/toubkal-26734
dc.language.isoen
dc.publisherFaculté des Sciences - Dhar El Mahraz - Fèsfr_FR
dc.subjectrecommendation techniquesfr_FR
dc.subjectmulti-agent systemsfr_FR
dc.subjectsemantic web servicesfr_FR
dc.subjectservice selectionfr_FR
dc.subjectservice compositionfr_FR
dc.subjectE-GOVfr_FR
dc.subjectITIL incident managementfr_FR
dc.titleCombining Recommendation Techniques with Multi-Agent Systems for Enhancing Dynamic Semantic Web Services Selection and Composition: E-GOV and ITIL Incident Management Case Studyfr_FR

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