StreamWorks - A system for Dynamic Graph Search
Acting on time-critical events by processing ever growing social media, news or cyber data streams is a major technical challenge. Many of these data sources can be modeled as multi-relational graphs. Mining and searching for subgraph patterns in a continuous setting requires an efficient approach to incremental graph search. The goal of our work is to enable real-time search capabilities for graph databases. This demonstration will present a dynamic graph query system that leverages the structural and semantic characteristics of the underlying multi-relational graph.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1095425
- Report Number(s):
- PNNL-SA-92483; 400470000
- Resource Relation:
- Conference: Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data (SIGMOD 2013), June 22-27, 2013, New York, 1101-1104
- Country of Publication:
- United States
- Language:
- English
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