Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJARAI.2012.010805
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 1 Issue 8, 2012.
Abstract: Context-aware computing is an emerging computing paradigm that provides intelligent context-aware application. Context reasoning is an important aspect in context awareness, by which high level context can be derived from low-level context data. In this paper, we focus on the situation in mobile workspace, where a worker performs a set of activities to archive defined goals. The main part of being aware is to be able to answer the question of “what is going on”. Therefore high level context we need to derive is current activity and its state. The approach we propose is knowledge-driven technique. Temporal relations as well as semantic relations are integrated into the context model of activity, and the recognition is performed based on the model. We first define the context model of activity, and then we analyze the characteristics of context change and propose a method of context reasoning.
Tao Lu, Xiaoling Liu, Xiaogang Liu and Shaokun Zhang, “An Interval-Based Context Reasoning Approach” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(8), 2012. http://dx.doi.org/10.14569/IJARAI.2012.010805