Approximate query answering approach based on data abstraction and fuzzy relation

Abstract

Although a query language has been used as a convenient tool to obtain information from a database, users increasingly demand more intelligent cooperative query answering system that can understand thd intent of an imprecise query and provide additional useful information as well as exact answers. This paper proposes an integrated cooperative query answering approach that is based on the notion of data abstraction and fuzzy relation. The approach help database users carry out more effective query answering and decision making by increasing the diversity of admitted queries, elaborating the query relaxation control through user interaction, and accommodating dynamic knowledge maintenance.