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Context-aware computing benefits mobile applications by adapting systems behavior through user surrounding. However, contextualized information retrieval for mobile user in mobile P2p environment still remains a challenging problem. In this paper, we present JHPeer framework for mobile information retrieval (IR) in hybrid peer to peer (P2P) networks. JHPeer incorporates context engine to fit on mobile...
When building document categorization in distributed mobile environments, feature selection methods need to be employed to have a compact representation for each document topic and to reduce noise during classification. When interaction occurs between the nodes, locally retrieved features representing the document topic and their attributes have to be shared to have a more accurate estimation of the...
Context-awareness has become a desired key feature of today's mobile systems, yet, its realization still remains a challenge. On the one hand, mobile computing provides great potential for adaptations based on sensed contextual information. On the other hand, the lack of dependability in mobile networks hampers an efficient provision of this information to requesting clients. In this paper we present...
With the emergence of pervasive computing environments, mobile information sharing and retrieval is becoming an exciting domain that challenges information scientists. In this paper, we describe a hybrid peer to peer context-aware framework for building mobile information sharing applications. A scalable and flexible architecture based on JXTA is presented. The architecture called "JHPeer"...
The following topics are dealt with: artificial intelligence; expert systems; human-computer interaction; security and access control; digital libraries; information visualization; P2P; peer to peer data management; information retrieval; information management; mobile, ad hoc and sensor network security; semantic Web; ontology; e-learning; ecommerce; e-business; e-government; Web mining; Web intelligence;...
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