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A branch of Distributed Information Retrieval(DIR) is Peer-to-Peer Information Retrieval (P2PIR). Peer-to-Peer (P2P) networks are a recently evolved paradigm for distributed computing and many researchers are developing new algorithms for such systems. Evaluate algorithms performance, in a P2P network, is already a challenging task caused by the lack of realistic test beds. The construction of standard...
In unstructured P2P systems, peers organize themselves into a random overlay. A challenging problem in these systems is to efficiently locate appropriate peers to answer a specific query. Recently, research works have focused on methods based on query history, which use the historical information of past queries and query hits to build a local knowledge base per peer. When a peer forwards a given...
One issue for context-aware applications is to identify without delay situations requiring reactions. The identification of these situations is computed from both dynamic context information and domain specific knowledge. This identification is the output of a process involving context interpretation, aggregation and deduction. In smart environments, these treatments have to be efficient since they...
Current learning technology standards and recommendations have defined common languages for describing and sequencing learning resources. But further work is needed to support authors during their tasks (design, indexation, composition, search, insertion), which are essential to achieve a high level of automation. This paper proposes an author system to facilitate searching and dynamic composition...
Users in a campus need information about relevant individuals, buildings, events and available resources. In this paper, we propose a system to perform situation-aware adaptive recommendation of information to assist mobile users in a campus environment. The idea is to show information about the most relevant buildings and particular individuals situated nearby the user, taking into account the user...
We present in this paper the interest of ubiquitous computing for the so called contextualized forums. These forums allow communities of practice exchanging and sharing experiences or situations already lived by using learning documents to classify these exchanges. These forums contain a lot of information which contribute to improve classical training. We study here ubiquitous computing possibilities...
Nowadays, myriad of Web-based educational systems (WBES) exists, each of them storing their own learner's models and resources. Our work is a contribution to ontology-based WBES adaptability. As a first result, we have proposed a solution to measure the distance between two ontologies instances representing two learner profiles: the current one and a target one
In order to deal with the need of sharing learning objects within and across learning object repositories most of the work argue for the use of ontologies as a means for providing a shared understanding of common domains. But with the proliferation of much different ontology even for the same domain, it becomes necessary to provide a mapping process to perform interoperability. Two key issues must...
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