Synopsis
An Overview and Introduction to Logic and Data Bases.- Data Bases Viewed Through Formal Logic.- Data Base: Theory vs. Interpretation.- On Closed World Data Bases.- Logic for Data Description.- Knowledge Representation and Deduction.- An Experimental Relational Data Base System Based on Logic.- Deductive Question-Answering on Relational Data Bases.- Deductive Planning and Pathfinding for Relational Data Bases.- DEDUCE 2: Further Investigations of Deduction in Relational Data Bases.- Nondeterministic Languages Used for the Definition of Data Models.- An Axiomatic Data Base Theory.- Negative Information and Data Bases.- Negation as Failure.- Logic and Data Base Integrity.- Integrity Checking in Deductive Data Bases.- Query Languages and Applications.- The Application of PROLOG to the Development of QA and DBM Systems.- The Predicate Calculus-Language KS as a Query Language.- High Level Data Base Query Languages.- Author Index.- List of Referees.- Addresses of Contributing Authors.
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