Trey Grainger presented the paper "The Semantic Knowledge Graph" at the 2016 IEEE International Conference on Data Science and Advanced Analytics.

The Semantic Knowledge Graph uses an inverted index and a complementary uninverted index to represent nodes as terms and edges as intersecting document postings lists, enabling automatic generation from a corpus. It supports dynamic node and edge materialization via set operations for real-time traversal, scoring, and discovery of relationships between entities like words or phrases.