Learn how to transform, store, evolve, refactor, model, and create graph projections using the Python programming language Key Features โข Transform relational data models into graph data model while learning key applications along the way โข Discover common challenges in graph modeling and analy
Graph Data Model: and Its Data Language
โ Scribed by Hideko S. Kunii (auth.)
- Publisher
- Springer Tokyo
- Year
- 1990
- Tongue
- English
- Leaves
- 116
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Complex databases can be understood well with visual representation. A graph is a very intuitive and rational structure to visually represent such databases. Graph Data Model (GDM) proposed by the author formalizes data representation and operations on the data in terms of the graph concept. The GDM is an extension of the relational model toward structural representation. In this model, a database is defined by a schema graph where nodes represent record types and arcs represent link types that are relationships between two record types. The capabilities of the GDM include direct representation of many-to-many relationships and of the relationships within a single record type. The characteristic operators are those associated with links: existential, universal, numerical and transitive link operators. Graph Data Language (GDL) is a data language based on this GDM. The essence of the GDL is path expressions used for formulation of queries. The concepts of GDM and GDL have actually been implemented by Ricoh Co., Ltd. and a system based on these concepts is commercially available for many UNIX machines.
โฆ Table of Contents
Front Matter....Pages I-XVI
Introduction....Pages 1-6
Graph Data Model....Pages 7-20
Data Definition Language....Pages 21-28
Data Manipulation Language....Pages 29-39
Implementation of GDL....Pages 41-58
A Comparison of Access Path Strategies....Pages 59-75
Conclusions....Pages 77-78
Back Matter....Pages 79-106
โฆ Subjects
Data Structures; Models and Principles
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