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Existing approaches for supporting context-aware knowledge sharing in ubiquitous healthcare give little attention to practice-based structures of knowledge representation.
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This allows an additional abstraction layer on top of context-aware systems, where knowledge management is performed by agents.
A context-aware handover decision using knowledge about context of mobile devices, users and networks, such as user preferences, application requirements, network parameters, link quality for decision making and based on user perceived QoS trigger is presented in[11].
This paper presents a context-aware model for supporting clinical knowledge sharing across organizational and geographical boundaries in ubiquitous e-health.
A context-aware approach relies on the knowledge of the context information from the network as well as the mobile terminals to form a decision.
The former can be encouraged with friendly context-aware user interfaces which facilitate needed knowledge in the required format and timely; the later can be assisted by knowledge directories and hyperlinks to technical reports.
This broad availability of data has led to increasing interest in methods and techniques for inferring context knowledge as well as extracting useful knowledge from various forms and sources of data the realm of context-aware computing and data science for knowledgeable and strategic decision-making purposes.
The idea is to make an autonomous knowledge web, which includes context-aware applications and service compose-ability.
The ontology-based context-aware systems also differ in the used knowledge representation language.
This knowledge is important to provide context-aware delivery methods that can generate content that meets the immediate learning goals.
There has been a lot of research on hierarchical topologies for WSNs; but, to the best of our knowledge, this is the first context-aware multi-layer TC scheme for long-term WSNs.
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