Context Awareness Framework Based on Contextual Graph

Computer Science – Networking and Internet Architecture

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Presented at The 5th International Conference on Wireless and Optical Communications Networks (WOCN'08) May 5-7, 2008, Surabay

Scientific paper

Nowadays computing becomes increasingly mobile and pervasive. One of the important steps in pervasive computing is context-awareness. Context-aware pervasive systems rely on information about the context and user preferences to adapt their behavior. However, context-aware applications do not always behave as user's desire, and can cause users to feel dissatisfied with unexpected actions. To solve these problems, context-aware systems must provide mechanisms to adapt automatically when the context changes significantly. The interesting characteristic of context is its own behaviors which depend on various aspects of the surrounding contexts. This paper uses contextual graphs to solve the problem "the mutual relationships among the contexts". We describe the most relevant work in this area, as well as ongoing research on developing context-aware system for ubiquitous computing based on contextual graph. The usage of contextual graph in context-awareness is expected to make it effective for developers to develop various applications with the need of context reasoning.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Context Awareness Framework Based on Contextual Graph does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Context Awareness Framework Based on Contextual Graph, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Context Awareness Framework Based on Contextual Graph will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-102075

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.