Michael Miller

Biography

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