ENGLISH

Graph Data Management: Techniques and Applications

Book information

Publisher
IGI Global
Year
2011
ISBN
161350053X, 9781613500538, 9781613500545, 9781613500552
LCC
QA276.3 .G68 2012
Google Books ID
nfJWPtZy-XgC
Open Library ID
OL24896121M
Language
english
Format
PDF
Filesize
12 MB (12327979 bytes)
Edition
1
Pages
502\502
Topic
Computers
Orientation
yes
Scanned
no
Time added
2012-03-09 12:00:00

Description

Graphs are a powerful tool for representing and understanding objects and their relationships in various application domains. The growing popularity of graph databases has generated data management problems that include finding efficient techniques for compressing large graph databases and suitable techniques for visualizing, browsing, and navigating large graph databases. Graph Data Management: Techniques and Applications is a central reference source for different data management techniques for graph data structures and their application. This book discusses graphs for modeling complex structured and schemaless data from the Semantic Web, social networks, protein networks, chemical compounds, and multimedia databases and offers essential research for academics working in the interdisciplinary domains of databases, data mining, and multimedia technology.

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