LOGRES is a new project for the development of extended database systems which is based on the integration of the object-oriented data modelling paradigm and of the rule-based approach for the specification of queries and updates. The data model supports generalization hierarchies and object sharing, the rule-based language extends Datalog to support generalized type constructors (sets, multisets, and sequences), rule-based integrity constraints are automatically produced by analyzing schema definitions. Modularization is a fundamental feature, as modules encapsulate queries and updates, when modules are applied to a LOGRES database, their side effects can be controlled. The LOGRES project is a follow-up of the ALGRES project, and takes advantage of the ALGRES programming environment for the development of a fast prototype.

Integrating object-oriented data modelling with a rule-based programming paradigm

CERI, STEFANO;CRESPI REGHIZZI, STEFANO;TANCA, LETIZIA;
1990-01-01

Abstract

LOGRES is a new project for the development of extended database systems which is based on the integration of the object-oriented data modelling paradigm and of the rule-based approach for the specification of queries and updates. The data model supports generalization hierarchies and object sharing, the rule-based language extends Datalog to support generalized type constructors (sets, multisets, and sequences), rule-based integrity constraints are automatically produced by analyzing schema definitions. Modularization is a fundamental feature, as modules encapsulate queries and updates, when modules are applied to a LOGRES database, their side effects can be controlled. The LOGRES project is a follow-up of the ALGRES project, and takes advantage of the ALGRES programming environment for the development of a fast prototype.
1990
Proceedings of the 1990 ACM SIGMOD international conference on Management of data - SIGMOD '90
0897913655
Deductive databases; logic programming; NF^2 Databases; Relational databases
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/665537
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