5. Knowledge Discovery and Hypotheses Generation
Exploiting rich semantic structure generated by identifying entities and relationships among them to promote knowledge discovery and to generate hypotheses that emerge from "surprising" correlations or structural events. Analyzing hidden links in massive information networks: Analyzing multiple, heterogeneous semantic links to discover crucial hidden relationships that may have strong impact on strategically important tasks. Streaming Data: Developing effective methods for clustering and classifying high-dimensional and evolving data streams.