Situation Tracking in Large Data Streams
Final rept. 1 Mar 2012-28 Feb 2015
QUEENSLAND UNIV (AUSTRALIA)
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Work on this project resulted in a system which a identifies in real-time a schema definition of a scenario from an incomplete sample of a situationthe cue plus a corpus of real-time unstructured and sparse time series data such as social media or log records b uses this schema to identify additional implicitly relevant data records to provide much greater recall of the scenario data, and quantifies the presence of schema elements in each data record c identifies multiple different scenarios emerging from the data in response to a query d quantifies the strength and stability of the time series of data records which contribute to each unfolding scenario e generates a user interface which enhances situation awareness and minimizes the user need for accurate prior knowledge, by enhancing the users search terms and collating results and femploys sound data science to construct data stories from statistically valid information, so non-analysts can make good decisions.
- Information Science
- Operations Research
- Military Intelligence