The designers and users of present-day information systems deal with more and more complex applications that have to meet stringent quality requirements. In this context, logic offers a wide variety of formalisms that can be applied to the specification, analysis, and prototype implementation of information systems. Such formalisms, e.g., temporal logic, provide a sound semantic basis for further extensions and for the development of practical database languages. Logics for Databases and Information Systems addresses novel applications of logical frameworks to the problems of database integrity and dynamics, handling time and change, concurrency, incomplete information, data modeling, and property inheritance. Each topic is discussed by leading researchers in the field. Logics for Databases and Information Systems is suitable as a secondary text for a graduate level course on Databases and Information Systems, and as a reference for researchers and practitioners in industry.