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.
@article{arxiv.1306.2460,
title = {StreamWorks - A system for Dynamic Graph Search},
author = {Sutanay Choudhury and Lawrence Holder and George Chin and Abhik Ray and Sherman Beus and John Feo},
journal= {arXiv preprint arXiv:1306.2460},
year = {2013}
}
Comments
SIGMOD 2013: International Conference on Management of Data