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The scale of the social web has integrated users in order to organize shared resources. Users freely associate keywords (tags) to resources. This collection of tags creates a folksonomy. Folksonomy is a collaborative tagging system, which has grown popular with its simplicity of free tagging. However, it rises up a number of issues such as ambiguous and redundant tags. So as to achieve an optimal...
In e-marketplace, semantic document exchange is a methodology of providing exchangeable semantic documents, which ensures document writer, writer's computer, reader's computer and document reader to share a same understanding in meaning on any exchanged document, that is, a semantic document is exchangeable across any heterogeneous contexts. Existing methodologies for semantic document exchange, in...
MOOCs (Massive Open Online Courses), a new form of learning, are characterized by a large scale of subscription. Thus, appropriate assessment strategies should be implemented to support massive data flows. In this paper, we are interested in studying the Peer Assessment in MOOCs based on Inquiry Based Learning (IBL), iMOOCs. Our contribution is a continuation of our previous research work. In fact,...
Nowadays, collaboration in the scientific domain has been discussed in several papers. Its relevance is justified by some classical problems, such as lack of support for the composition of scientific workflows, the difficulty in reusing scientific applications and in supporting cooperation and communication between geographically distributed teams of scientists, among others. Approaches such as SPL...
We propose a system, called EVolution of Long-term Composed Services (Ev-LCS), to address the change management issues in long-term composed services (LCSs). An LCS is a dynamic collaboration between autonomous web services that collectively provide a value-added service. It has a long-term commitment to its users. We first present a formal model, which provides the grounding semantics to support...
We propose a framework to support collaborative decision-making among multi-mobile users. This framework is comprised of an Agent's Case-based Reasoning, Integrated Ontology Generation and a Value Unification Module. The case-based reasoning module used to semantic similarity calculation and is applied to the extraction of the most similar case from each decision maker's case-base. Each the most similar...
Personalization is widely used in various fields to provide users with more suitable and personalized service. In this paper, a personalized learning service framework based on Semantic Web Technologies is proposed. The framework made full use of ontology to construct the semantic metadata model and user profile, mining and utilizing the friendship and membership to provide personalized learning services...
Recommender systems have been successfully used to address the problem of information overload, where consumers of goods and services have too many choices and overwhelming amount of information about each choice. Here we focus on service recommendation and demonstrate the need for using multiple criteria regarding service qualities, and the need to consider multiple contextual dimensions regarding...
A meaningful e-marketplace (MEMP) is a common business information space where computer agents can faithfully deliver the true meanings of e-trade with each other on behalf of their human masters. Partial understanding of any received e-trade information is forbidden since it hides unfavorable legal consequences. MEMP is a new concept. This paper discusses it by putting forward a framework, which...
To adapt communication in order to maintain the connectivity and the quality of communications in group-wide collaborative activities becomes challenging when considering mobile entities in a wireless environment, requiring responsiveness and availability of the communication system, and designing self-adaptable communication architecture remains a complex task. To simplify this task, semantic presents...
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