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

Boudebza, Souâad; Berkani, Lamia; Azouaou, Faiçal; Nouali, Omar

doi:10.1007/978-3-319-00560-7_45

Cited by 1 publication

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to Boudebza et al (2013), annotation represents the externalised knowledge which reflects personal knowledge and experiences of the annotator. According to Philippe (2009), the annotation represents the vector of the reusability of the informational elements of the watcher, Barber et al (2005) intend to reduce document reading time by the collective annotation, in the work of Cabanac et al (2007) collective annotation is used to allow discussing and debating on the other hand the annotation proposed in the work of Azouaou and Desmoulins (2006) aims to memorise, to re-use and share knowledge.…”

Section: Ontology-based Model For Annotation Semanticsmentioning

confidence: 99%

See 1 more Smart Citation

Collective memory based on semantic annotation among economic intelligence actors

Aissa¹,

Nader²,

Chalal³

2014

IJCI

View full text Add to dashboard Cite

Many enterprises are reflected on strategies and tools that facilitate the knowledge sharing and exploiting the collective intelligence among their actors. Economic intelligence actors collaborate to solve a decisional problem, they use significant mental effort, and so they share a common knowledge that can indicate to other actors directions to follow or avoid. Indeed, whenever an actor explores knowledge or a relevant document, it enriches the collective knowledge of the memory via annotations. To ensure this collaboration in solving a decisional problem among actors in a context of economic intelligence, in this article we propose a conceptual model using ontologies to represent collaborative semantic annotations between economic intelligence actors in order to capitalise on and reuse the knowledge shared in a collective memory.

show abstract

Section: Ontology-based Model For Annotation Semanticsmentioning

confidence: 99%

“…Recommender systems are used collectively tagged by the users' community with a semantic sense. And in the work of Boudebza et al (2013) proposed approach is based contextual semantic annotation model, for improving knowledge reusability within online communities of practice of e-learning (CoPEs).…”

Section: Ontology-based Model For Annotation Semanticsmentioning

confidence: 99%