Michael Miller

Northrop Grumman Corporation

Cognitive Software Engineer


Michael Miller conducts research for Northrop Grumman as a Cognitive Software Engineer. He is leading the Digital Innovation Team’s efforts to mobilize unstructured data from within technical documents. Michael pulls knowledge from a diverse set of experiences in the aerospace and defense industry, including simulation, systems, and software engineering. This background defines the “why” of Michael’s projects – he strives to apply cutting-edge algorithms in practical ways that improve the engineering process.

Talks and Events

Leave No Thought Behind: Encoding Context-rich Knowledge Graphs from Natural Language

Many industries store vast amounts of information as natural language. Current methods for composing this text into knowledge graphs parse a small set of relations from within a larger document. The author’s specific diction is approximated by the vocabulary of the model. In domains where precise communication is critical, this approach is not sufficient. We propose a novel approach to encode natural language into a knowledge graph without any loss of context.

Track: NLP

Session Topics:

  • Business Use Cases
  • Data Modeling
  • Data Management
  • Ontologies
  • Natural Language Processing and Understanding
  • Graph Data Science
  • Content Production using KGs
  • Knowledge base integration
  • Knowledge Mining
  • Data Loss Prevention
  • Request for Proposal (RFP) Shredding