Semantic Annotations and Context Reasoning to Enhance Knowledge Reuse in e-Learning

dc.contributor.authorBoudebza, Souad
dc.contributor.authorBerkani, Lamia
dc.contributor.authorAzouaou, Faiçal
dc.contributor.authorNouali, Omar
dc.date.accessioned2013-11-28T15:00:02Z
dc.date.available2013-11-28T15:00:02Z
dc.date.issued2013
dc.description.abstractWe address in this paper the need of improving knowledge reusability within online Communities of Practice of E-learning (CoPEs). Our approach is based on contextual semantic annotations. An ontological-based contextual semantic annotation model is presented. The model serves as the basis for implementing a context aware annotation system called “CoPEAnnot”. Ontological and rule-based context reasoning contribute to improving knowledge reuse by adapting CoPEAnnot’s search results, navigation and recommendation.The proposal has been experimented within a community of learners.fr_FR
dc.identifier.doi10.1007/978-3-319-00560-7_45
dc.identifier.e-isbn978-3-319-00560-7
dc.identifier.isbn978-3-319-00559-1
dc.identifier.urihttp://dl.cerist.dz/handle/CERIST/406
dc.publisherSpringer Berlin Heidelbergfr_FR
dc.relation.ispartofModeling Approaches and Algorithms for Advanced Computer Applicationsfr_FR
dc.rights.holderSpringer-Verlag Berlin Heidelbergfr_FR
dc.subjectCommunity of practice of e-learningfr_FR
dc.subjectE-learningfr_FR
dc.subjectKnowledge reusefr_FR
dc.subjectSemantic annotationfr_FR
dc.subjectContextfr_FR
dc.subjectReasoningfr_FR
dc.titleSemantic Annotations and Context Reasoning to Enhance Knowledge Reuse in e-Learningfr_FR
dc.typeBook Chapter
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