This research describes the use of abstract data types as a design and implementation tool for data base management systems. Abstract data types, represented by generic objects and generic procedures, are used to implement a network data base management system. Generic objects are used to represent the data model, instantiations of the objects to represent the user's schema and subschema, and generic procedures to implement the data manipulation language verbs. Traditional database management system design approaches are described in which run-time interpretation of the schema and subschema is employed to preserve data independence. Application of abstract data types to the design of a data base management system permits the elimination of...
Managed Data is a two-level approach to data abstraction in which programmers first define data desc...
Managed Data is a two-level approach to data abstraction in which programmers first define data desc...
Contents I Database Management Systems 2 II Data Models 3 IIIDatabase Languages 8 IVAdvanced Models...
This dissertation examines the application of current research on abstract data types and on generic...
In this paper, we attempt to outline a proposal of a data-base management system which supports an e...
Levels of abstraction in data base system architecture are investigated. A diagrammatic representati...
When designing the database structure oriented to the contents of indicators presented in the docume...
This paper explains the vital role of data abstraction in the development of computer programs. Abst...
Traditionally, programming languages support data abstraction through some kind of module construct...
This paper deals with the history and definitions common to data-base technology. It delimits the ob...
The definition and long-term management of data in complex systems requires extensive support, inclu...
A model is proposed for specification and implementation of data types. This model is based on a nov...
The design and implementation of data bases involve, firstly, the formulation of a conceptual data m...
An abstract model, called the data abstraction model, is proposed, and the basic DATAM constructs an...
A high level language (GDBD - Generalized Data Base Definition) is presented for hierarchical relati...
Managed Data is a two-level approach to data abstraction in which programmers first define data desc...
Managed Data is a two-level approach to data abstraction in which programmers first define data desc...
Contents I Database Management Systems 2 II Data Models 3 IIIDatabase Languages 8 IVAdvanced Models...
This dissertation examines the application of current research on abstract data types and on generic...
In this paper, we attempt to outline a proposal of a data-base management system which supports an e...
Levels of abstraction in data base system architecture are investigated. A diagrammatic representati...
When designing the database structure oriented to the contents of indicators presented in the docume...
This paper explains the vital role of data abstraction in the development of computer programs. Abst...
Traditionally, programming languages support data abstraction through some kind of module construct...
This paper deals with the history and definitions common to data-base technology. It delimits the ob...
The definition and long-term management of data in complex systems requires extensive support, inclu...
A model is proposed for specification and implementation of data types. This model is based on a nov...
The design and implementation of data bases involve, firstly, the formulation of a conceptual data m...
An abstract model, called the data abstraction model, is proposed, and the basic DATAM constructs an...
A high level language (GDBD - Generalized Data Base Definition) is presented for hierarchical relati...
Managed Data is a two-level approach to data abstraction in which programmers first define data desc...
Managed Data is a two-level approach to data abstraction in which programmers first define data desc...
Contents I Database Management Systems 2 II Data Models 3 IIIDatabase Languages 8 IVAdvanced Models...