Abstract
We aim especially to give a coherent and in-depth perspective on current graph querying and an outlook for future developments. Our presentation is self-contained, covering the relevant topics from: graph data models, graph query languages and graph query specification, graph constraints, and graph query processing. We conclude by indicating major open research challenges towards the next generation of graph data management systems.
| Language | English |
|---|---|
| Place of Publication | Williston |
| Publisher | Morgan & Claypool Publishers |
| Number of pages | 184 |
| DOIs | |
| State | Published - 2018 |
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Querying graphs. / Bonifati, Angela; Fletcher, G.H.L.; Voigt, Hannes; Yakovets, N.
Williston : Morgan & Claypool Publishers, 2018. 184 p.Research output: Book/Report › Book › Academic
TY - BOOK
T1 - Querying graphs
AU - Bonifati,Angela
AU - Fletcher,G.H.L.
AU - Voigt,Hannes
AU - Yakovets,N.
PY - 2018
Y1 - 2018
N2 - Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary focus is on concepts and their relationships and the rich patterns in these complex webs of interconnectivity. In this book, we present a concise unified view on the basic challenges which arise over the complete life cycle of formulating and processing queries on graph databases. To that purpose, we present all major concepts relevant to this life cycle, formulated in terms of a common and unifying ground: the property graph data model—the pre-dominant data model adopted by modern graph database systems.We aim especially to give a coherent and in-depth perspective on current graph querying and an outlook for future developments. Our presentation is self-contained, covering the relevant topics from: graph data models, graph query languages and graph query specification, graph constraints, and graph query processing. We conclude by indicating major open research challenges towards the next generation of graph data management systems.
AB - Graph data modeling and querying arises in many practical application domains such as social and biological networks where the primary focus is on concepts and their relationships and the rich patterns in these complex webs of interconnectivity. In this book, we present a concise unified view on the basic challenges which arise over the complete life cycle of formulating and processing queries on graph databases. To that purpose, we present all major concepts relevant to this life cycle, formulated in terms of a common and unifying ground: the property graph data model—the pre-dominant data model adopted by modern graph database systems.We aim especially to give a coherent and in-depth perspective on current graph querying and an outlook for future developments. Our presentation is self-contained, covering the relevant topics from: graph data models, graph query languages and graph query specification, graph constraints, and graph query processing. We conclude by indicating major open research challenges towards the next generation of graph data management systems.
U2 - 10.2200/S00873ED1V01Y201808DTM051
DO - 10.2200/S00873ED1V01Y201808DTM051
M3 - Book
BT - Querying graphs
PB - Morgan & Claypool Publishers
CY - Williston
ER -