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Graph Data Management: Fundamental Issues and Recent Developments

✍ Scribed by George Fletcher, Jan Hidders, Josep Lluís Larriba-Pey


Publisher
Springer International Publishing
Year
2018
Tongue
English
Leaves
196
Series
Data-Centric Systems and Applications
Edition
1st ed.
Category
Library

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✦ Synopsis


This book presents a comprehensive overview of fundamental issues and recent advances in graph data management. Its aim is to provide beginning researchers in the area of graph data management, or in fields that require graph data management, an overview of the latest developments in this area, both in applied and in fundamental subdomains.
The topics covered range from a general introduction to graph data management, to more specialized topics like graph visualization, flexible queries of graph data, parallel processing, and benchmarking. The book will help researchers put their work in perspective and show them which types of tools, techniques and technologies are available, which ones could best suit their needs, and where there are still open issues and future research directions.
The chapters are contributed by leading experts in the relevant areas, presenting a coherent overview of the state of the art in the field. Readers should have a basic knowledge of data management techniques as they are taught in computer science MSc programs.

✦ Table of Contents


Front Matter ....Pages i-xii
An Introduction to Graph Data Management (Renzo Angles, Claudio Gutierrez)....Pages 1-32
Graph Visualization (Peter Eades, Karsten Klein)....Pages 33-70
gLabTrie: A Data Structure for Motif Discovery with Constraints (Misael MongiovΓ­, Giovanni Micale, Alfredo Ferro, Rosalba Giugno, Alfredo Pulvirenti, Dennis Shasha)....Pages 71-95
Applications of Flexible Querying to Graph Data (Alexandra Poulovassilis)....Pages 97-142
Parallel Processing of Graphs (Bin Shao, Yatao Li)....Pages 143-162
A Survey of Benchmarks for Graph-Processing Systems (Angela Bonifati, George Fletcher, Jan Hidders, Alexandru Iosup)....Pages 163-186

✦ Subjects


Computer Science; Database Management; Math Applications in Computer Science; System Performance and Evaluation; Models and Principles


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