Extending the database relational model to capture more meaning
ACM Transactions on Database Systems (TODS)
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Performance evaluation of a relational associative processor
ACM Transactions on Database Systems (TODS)
Analysis of aarchitectural features for enhancing the performance of a database machine
ACM Transactions on Database Systems (TODS)
SYNGLISH - a high level query language for the RAP database machine
CAW '80 Proceedings of the fifth workshop on Computer architecture for non-numeric processing
RAP. 2 - an Associative Processor for data bases
ISCA '78 Proceedings of the 5th annual symposium on Computer architecture
SEQUEL: A structured English query language
SIGFIDET '74 Proceedings of the 1974 ACM SIGFIDET (now SIGMOD) workshop on Data description, access and control
An associative processor for relational data bases--rap. (volumes 1 and 2)
An associative processor for relational data bases--rap. (volumes 1 and 2)
A Generalized Expert System for Database Design
IEEE Transactions on Software Engineering
WCRC: An ANSI SPARC machine architecture for data base management
ISCA '81 Proceedings of the 8th annual symposium on Computer Architecture
| Hi-index | 0.00 |
The design and implementation of a generalized database management system based on the RAP database machine is described. The GDBMS architecture, while is similar to the ANSI/SPARC view, has differences in the interpretation of its physical levels. The E/R model is chosen as the Meta Data Model (Conceptual Schema) which generates external model interfaces consisting of the relational, network, and hierarchical models. The SEQUEL, LSL, MRI --- like languages are supported at these interfaces. Structural and operational transformations from the external interfaces into the corresponding constructs of the RAP database machine have been implemented. The RAP DBMS assembler is found to be an efficient facility for language translation and in realizing common operational transformations. It performs these transformations in a way that preserves database consistency.