Elements of Data Management Systems
ACM Computing Surveys (CSUR)
Introduction to “feature analysis of generalized data base management systems”
Communications of the ACM
A relational model of data for large shared data banks
Communications of the ACM
An ALGOL-based associative language
Communications of the ACM
A computer system for inference execution and data retrieval
Communications of the ACM
Tramp: An interpretive associative processor with deductive capabilities
ACM '68 Proceedings of the 1968 23rd ACM national conference
GENERALIZED ORGANIZATION OF LARGE DATA BASES: A SET-THEORETIC APPROACH TO RELATIONS
GENERALIZED ORGANIZATION OF LARGE DATA BASES: A SET-THEORETIC APPROACH TO RELATIONS
Surveyor's Forum: Related Information
ACM Computing Surveys (CSUR)
Surveyor's Forum: Related Information
ACM Computing Surveys (CSUR)
An attribute-based file organization for a relational database
ACM '76 Proceedings of the 1976 annual conference
Diet: A data independent system for medical applications
ACM '77 Proceedings of the 1977 annual conference
Some reviews of current literature
ACM SIGMOD Record
Data base system objectives as design constraints
ACM SIGMIS Database
Data base system objectives as design constraints
ACM '74 Proceedings of the 1974 annual ACM conference - Volume 2
AFIPS '75 Proceedings of the May 19-22, 1975, national computer conference and exposition
A general methodology for data conversion and restructuring
IBM Journal of Research and Development
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In this paper the design criteria and the overall organization of MORIS, a new general purpose data management system, are illustrated. The system is based on a relational model of data, in which the data base is viewed as a collection of time varying relations of assorted degrees. The capabilities offered by this model are discussed. The architecture of the system is illustrated, which is designed to provide independence of application programs from growths in data types and changes in data representation, convertibility of data among different storage structures, and ability to provide solutions to a wide variety of unanticipated user's problems in fast and uniform retrieval times. The relational model allows the formal definition of an user oriented language, based on applied predicate calculus. The capabilities of this language for retrieving any information which is, implicitly or explicitly, represented in the data base, are discussed.