An Integrated Service Selection Engine for Context-aware Computing

Abstract

Context-aware computing is expected to be a key enabler for customized provision of fast-growing mobile services. The growth on the number and diversity of mobile services makes current approach and practice of service selection inadequate. In this study, we present a context-aware service selection engine which integrates rule-based reasoning (RBR) and case-based reasoning (CBR) to support proactive recommendation of mobile services based on users' current situation. This service selector is especially useful for people in places they have never been to before. Apart from tourists and truck drivers, a large group of such people consists of business travelers. Often, business travelers do not know their ways, nor which restaurants and public services are available to them. Facilitating the mutual discovery of users and services is the main motivation of our project.