Development of knowledge-filtering agent along with user context in ubiquitous environment

Abstract

In this paper, we propose combination of Ubiquitous Computing and Semantic Web. Data and services will be annotated even in the ubiquitous devices, and should be connected to the web of the semantics near future. We call it Ubiquitous Semantics, where we would find huge amount of knowledge information, but also find most of them transitive along with user context. Therefore, in order for an agent to meet user's real-time query it is required to efficiently retrieve timely and useful piece of the knowledge from the Ubiquitous Semantics. Thus, this paper shows a knowledge-filtering agent, which quickly responds the query by dynamic classification of the necessary information along with the user context changing in the real world. Further, to evaluate our approach we validate the performance of an application: Recipe Recommendation Agent. © IFIP International Federation for Information Processing 2005.