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In this work, we propose an algorithm, called E-Learning Ontology Enrichment (ELOE), to derive a global representation from the personal ontologies of different agents present in an e-Learning MAS. Using ELOE, each agent of a MAS-based e-Learning system can autonomously enrich its own ontology by using semantic negotiation and, at the same time, it can access to the global ontology to have a view...
Enterprise 2.0 is mainly focused on answering to people needs and to stimulate flexibility, adaptability and innovation. Ontologies define a common vocabulary to share domain information and are used to state the meaning of terms used in data produced, shared and consumed within the context of semantic Web applications. In this paper we propose a conceptual architecture where ontologies are used to...
Nowadays, the semantic Web technologies are exploited also in the e-learning domain in order to provide personalized and adaptive learning experiences, semantic annotation of learning contents and learner profiling. The approaches of the Web 2.0, instead, are used to implement and deploy knowledge exchange services based on the concept of social collaboration. In this work, we propose an approach...
In this paper using concept of ontological engineering to consider which task should be conducted or careful before building an online e-learning community system. The online e-learning community system is an intelligent system that integrated e-learning, network community, and agent can automatically in performing the mechanisms of interaction and collaboration in a network community environment...
Today, it is almost impossible to imagine distance education without the use of numerous software systems, technologies, specifications and standards. Industry, to be able to develop and maintain "learning" systems effectively and yet to have commercially successful business models, limits the overall learning landscape, by fixing learning to a predetermined set of activities, communities,...
This paper presents a semi-automatic framework that aims to produce domain concept maps from text and then to derive domain ontologies from these concept maps. This methodology particularly targets the e-learning and AIED (artificial intelligence in education) communities as they need such structures to sustain the production of e-learning resources tailored to learners' needs. This paper details...
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