Discovering Context in a Conceptual Schema

While significant effort is expended in developing a conceptual model for an information system, critical knowledge is discarded during implementation. Consequently, designers and users must employ less complete logical level knowledge to access data. Unfortunately, many users do not possess the detailed logical level knowledge required to formulate queries corresponding to ad hoc requests. By using the conceptual schema directly, however, it is possible to formulate such queries automatically. This paper describes how to augment the conceptual schema with knowledge of strongly associated conceptual level objects so that automated query formulation, semantic query optimization, and design feedback are supported. As a result, the conceptual schema assumes a central role throughout an information system's life cycle, and the design of intelligent interfaces is facilitated.