Introduction
The graph is a powerful tool for representing and understanding objects and their relationships in various application domains. Recently, they have been widely used to model many complex structured and schemaless data such as semantic web, social networks, protein networks, chemical compounds and multimedia databases. The growing popularity of graph databases has generated interesting data management problems. Therefore, the field of graph databases and graph query processing has received a lot of attention due to the constantly increasing usage of graph data structure for representing data in these different domains. To effectively understand and utilize any collection of graphs, a graph database that efficiently supports elementary querying mechanisms is crucially required.
While graph databases have many benefits, there are many more opportunities to be unleashed and many research challenges need to be investigated. For instance, finding efficient techniques for compressing large graph databases is quite important. Proposing suitable techniques for visualizing, browsing and navigating very large graph databases is also of a great practical value.
Objective of the Book
The objective of this book is to provide a central source of reference on the different data management techniques of graph data structures and its technology application. This book will contain open-solicited and invited chapters written by leading researchers, academics, and practitioners in the field. All articles will be reviewed by three independent reviewers. The book will cover the state-of-the-art, as well as the latest research discoveries and applications, thus making it a valuable reference for a large community of audiences.
Target Audience unkempt
This book will be an important reference to researchers and academics working in the interdisciplinary domains of databases, data mining and multimedia technology and its related areas such as social networks, bioinformatics, semantic web, multimedia databases, and so forth. It will also be a potential resource for senior undergraduate and postgraduate students.
Recommended topics include, but are not limited to, the following:
• Methods/Techniques for storing, indexing and querying graph data.
• Methods/Techniques for estimating the selectivity of graph queries.
• Methods/Techniques for graph mining.
• Methods/Techniques for compact (compressed) representation of graph data.
• Methods/Techniques for measuring graph similarity.
• Tools/Techniques for graph data management for social network applications.
• Tools/Techniques for graph data management of chemical compounds.
• Tools/Techniques for graph data management of protein networks.
• Tools/Techniques for graph data management of multimedia databases.
• Tools/Techniques for graph data management of semantic web data (RDF).
• Tools/Techniques for graph data management for geometrical applications.
• Tools/Techniques for graph data management for Business Process Management applications.
• Tools/Techniques for visualizing, browsing, or navigating graph data.
• Analysis/Proposals for graph query languages.
• Advanced applications and tools for managing graph databases in different domains.
• Benchmarking and testing of graph data management techniques.
Submission Procedure
Researchers and practitioners are invited to submit on or before March 15, 2010, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by April 15, 2010 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by July 15, 2010. All submitted chapters will be reviewed on a double-blind review basis.
Publisher
This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is scheduled to be released in 2011.
Important Dates
March 15, 2010: Proposal Submission Deadline
April 15, 2010: Notification of Acceptance
July 15, 2010: Full Chapter Submission
September 30, 2010: Review Results Returned
November 30, 2010: Final Chapter Submission
December 30, 2010: Final Deadline
Editorial Advisory Board Members:
Sourav S. Bhowmick, Nanyang Technological University, Singapore
Michael Böhlen, University of Zurich, Switzerland
Marlon Dumas, University of Tartu, Estonia
Claudio Gutierrez, Universidad de Chile, Chile
Irwin King, The Chinese University of Hong Kong, China
Raymond Wong, University of New South Wales, Australia
Mohammed Zaki, Rensselaer Polytechnic Institute, USA
Xiaofang Zhou, University of Queensland, Australia