Algorithmics and applications of tree and graph searching
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
GraphDB: Modeling and Querying Graphs in Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A graph query language and its query processing
A graph query language and its query processing
Graph indexing: a frequent structure-based approach
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Substructure similarity search in graph databases
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
SAGA: a subgraph matching tool for biological graphs
Bioinformatics
Efficient aggregation for graph summarization
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
TALE: A Tool for Approximate Large Graph Matching
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
k-nearest neighbors in uncertain graphs
Proceedings of the VLDB Endowment
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Real life data can often be modeled as graphs, in which nodes represent objects and edges between nodes indicate their relationships. Large graph datasets are common in many emerging applications. Examples span from social networks, biological networks to computer networks. To fully exploit the wealth of information encoded in graphs, systems for managing and analyzing graph data are critical. To address this need, we have designed and developed a graph querying toolkit, called Periscope/GQ. This toolkit is built on top of a traditional RDBMS. It provides a uniform schema for storing graphs in the database and supports various graph query operations, especially sophisticated operations, such as approximate graph matching, large graph alignment and graph summarization. Users can easily combine several operations to perform complex analysis on graphs. In addition, Periscope/GQ employs several novel indexing techniques to speed up query execution. This demonstration will highlight the use of Periscope/GQ in two application domains: life science and social networking.