One of the key differences is that the graph edges are being stored directly in scalable graph stores - either Cassandra or Neo4j. Also, the graph edges are structured as RDF (https://www.w3.org/TR/rdf12-schema/). In TrustGraph version 0.11.20, the extraction process follows the patterns that many projects use: finding entities (both conceptual and person, places, things, etc.) and relationships between entities. Upcoming releases will continue to evolve this process to make the extracted knowledge graph much more granular, especially focusing on the source of the extracted graph edges.
Very interesting project! What’s different about how this builds knowledge graphs from other projects?
One of the key differences is that the graph edges are being stored directly in scalable graph stores - either Cassandra or Neo4j. Also, the graph edges are structured as RDF (https://www.w3.org/TR/rdf12-schema/). In TrustGraph version 0.11.20, the extraction process follows the patterns that many projects use: finding entities (both conceptual and person, places, things, etc.) and relationships between entities. Upcoming releases will continue to evolve this process to make the extracted knowledge graph much more granular, especially focusing on the source of the extracted graph edges.
Daniel