QUERY EVALUATION MANAGEMENT - DESIGN AND PROTOTYPE IMPLEMENTATION

The increasing customer orientation of information technology applicat ions has resulted in a stronger emphasis on providing query evaluation services to the user community. Applications in electronic markets, d ata warehousing and decision support systems arenas function in highly dynamic environments serving users who demand increasing flexibility in their interactions with the systems. These characteristics limit a direct application of current query evaluation models. We propose the development of a query evaluation subsystem (QUEM) that is equipped wi th a knowledge base, a learning component and a decision support compo nent to provide greater flexibility to the users and aid in managing s ystem transitions. A prototype termed QUEST has been built and impleme nted in a quasi-real world setting. The experimental results validate the practical viability of the proposed architecture.