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Semantic Flow Augmentation for the Automated Discovery of Organizational Relationships

Presentation
In this presentation, the authors describe semantic flow augmentation, discuss its use and features, and present ideas for future work.
Publisher

Software Engineering Institute

Abstract

Summary:

  • Flow provides 'how much'; some semantics are required for mission relevance.
  • Public tools:
    • SiLK - Flow Statistics
    • Crawler4j + Mallet - Lexical Analysis
    • Weka - Machine Learning SAK
    • Apache Commons Math - (Timeseries transforms)
    • A sprinkle of Java and a dash of Python
Part of a Collection

FloCon 2014 Collection

This content was created for a conference series or symposium and does not necessarily reflect the positions and views of the Software Engineering Institute.