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.
mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local - tobi/qmd
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