Overview
- Presents a comprehensive overview of fundamental issues and recent advances in graph data management
- Covers both fundamentals and specialized topics like graph visualization, parallel processing, and benchmarking
- Addresses topics that are relevant in areas like social networks, bioinformatics, and linked open data
Part of the book series: Data-Centric Systems and Applications (DCSA)
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Table of contents (6 chapters)
Keywords
About this book
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.
Editors and Affiliations
About the editors
Jan Hidders is an Associate Professor at the Vrije Universiteit Brussel. He got his PhD in 2001 at Eindhoven University of Technology, and has subsequently worked at the University of Antwerp as a postdoctoral researcher and as an assistant professor at TUDelft. He has worked on topics such a database indexing, workflow languages, query optimization and data integration. His current interests are in languages and platforms for large scale distributed data processing and in particular for graph processing.
Josep Lluís Larriba-Pey is an Associate Professor at the Universitat Politècnica de Catalunya. He has been working on Graph management for the last 10 years leading DAMA-UPC, a research and Technology Development group at Universitat Politècnica de Catalunya. In addition, based on the technologies DAMA-UPC, Josep has founded Sparsity Technologies a spin out company that provides technologies based on graph management, and in particular the high performance graph database Sparksee.
Bibliographic Information
Book Title: Graph Data Management
Book Subtitle: Fundamental Issues and Recent Developments
Editors: George Fletcher, Jan Hidders, Josep Lluís Larriba-Pey
Series Title: Data-Centric Systems and Applications
DOI: https://doi.org/10.1007/978-3-319-96193-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-96192-7Published: 12 November 2018
Softcover ISBN: 978-3-030-07151-6Published: 13 December 2018
eBook ISBN: 978-3-319-96193-4Published: 31 October 2018
Series ISSN: 2197-9723
Series E-ISSN: 2197-974X
Edition Number: 1
Number of Pages: XII, 186
Number of Illustrations: 37 b/w illustrations, 27 illustrations in colour
Topics: Database Management, Math Applications in Computer Science, System Performance and Evaluation, Models and Principles