GRAD: On Graph Database Modeling

نویسندگان

  • Amine Ghrab
  • Oscar Romero
  • Sabri Skhiri
  • Alejandro A. Vaisman
  • Esteban Zimányi
چکیده

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.

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عنوان ژورنال:
  • CoRR

دوره abs/1602.00503  شماره 

صفحات  -

تاریخ انتشار 2015