  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.
