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The Alexandria system under development at IBM Research provides anextensible framework and platform for supporting a variety of big-dataanalytics and visualizations. The system is currently focused on enabling rapidexploration of text-based social media data. The system provides tools to helpwith constructing "domain models" (i.e., families of keywords and extractors toenable focus on tweets and other social media documents relevant to a project),to rapidly extract and segment the relevant social media and its authors, toapply further analytics (such as finding trends and anomalous terms), andvisualizing the results. The system architecture is centered around a varietyof REST-based service APIs to enable flexible orchestration of the systemcapabilities; these are especially useful to support knowledge-worker driveniterative exploration of social phenomena. The architecture also enables rapidintegration of Alexandria capabilities with other social media analyticssystem, as has been demonstrated through an integration with IBM Research'sSystemG. This paper describes a prototypical usage scenario for Alexandria,along with the architecture and key underlying analytics.

Alexandria: Extensible Framework for Rapid Exploration of Social Media