Publication at Faculty of Mathematics and Physics |
2016
Abstract
This chapter focuses on modern methods used in graph data storage and processing, its parallelization, and visualization. A special attention is devoted to graph database management systems providing basics of graph data models, used in graph databases, dierent query capabilities supported by advanced indexing methods.
Graph DBMSs are discussed in dierent environments, like relational DBMS, Datalog, and NoSQL databases with special emphasis on problems of large graph data called Big Graphs today. Complexity and volume of such data play a signicant role in analysis of Big Graphs.