ubiES: Applying ubiquitous computing technologies to an expert system for context-aware proactive services [An article from: Electronic Commerce Research and Applications]

This digital document is a journal article from Electronic Commerce Research and Applications, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
Expert systems are originally designed to generate feasible alternatives in an automated manner. Users expect these systems to help them proactively and intelligently make decisions by automatically detecting users' various context data. However, conventional expert systems seldom automatically refer to context data, which is indispensable for proactive and intelligent problem solving. Therefore, this paper proposes a method to automatically detect and utilize users' context data for expert systems using ubiquitous computing technologies. To do so, we propose an amended expert systems paradigm, context-knowledge-dialogue-data (CKDD). Under the CKDD paradigm, we construct the framework of a ubiquitous computing technology-based expert system (ubiES), with the description of the subsystems within. To show the feasibility of the ubiES framework proposed in this paper, a prototype system, context-aware multi-agent system-my optimization (CAMA-myOpt), has been implemented in PDA-based proactive services area such as context-aware comparative shopping.