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GRAD: On Graph Database Modeling

Authors :
Ghrab, Amine
Romero, Oscar
Skhiri, Sabri
Vaisman, Alejandro
Zimányi, Esteban
Publication Year :
2016

Abstract

Graph databases have emerged as the fundamental technology underpinning trendy application domains where traditional databases are not well-equipped to handle complex graph data. However, current graph databases support basic graph structures and integrity constraints with no standard algebra. In this paper, we introduce GRAD, a native and generic graph database model. GRAD goes beyond traditional graph database models, which support simple graph structures and constraints. Instead, GRAD presents a complete graph database model supporting advanced graph structures, a set of well-defined constraints over these structures and a powerful graph analysis-oriented algebra.<br />Comment: 28 pages, 13 figures

Subjects

Subjects :
Computer Science - Databases

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1602.00503
Document Type :
Working Paper