A framework of context-awareness for ubiquitous computing middlewares

In upcoming future ubiquitous computing environments allow users to Provide appropriate services or information which intelligently interact with omnipresent computing resources as users needs in anywhere and any-timw fashion. So ubiquitous computing environments need context-aware systems to gather and analyze cowed information from situations or surroundings Also the systems should have abilities to handle and generate cowed information by combining inferencing and learning of sensed coweas But the previous context-aware systems we lack of systematic handing of contexts in various types and only a few have learning mechanisms to acquire individual user's performance or user's interests. In this paper, we propose a general framework for ubiquitous computing middlewares which easily hadles and generates various types of contexts from diverse sensors. The framework is designed to sense, combine infer and learn cowed information in order to provide users with various services in changing environments We partially implemented the proposed framework for a music recommendation system as a protype.