In this talk, Brian proposes we treat time as primary componentry to a semantic implementation, alongside data. Extending RDF to include timestamps allows data to exist in a temporal context for better SPARQL consumption, and allows machines (AI/ML) to ingest higher quality data for better decisions. Brian will speak about the benefits of Time Travel (query a state of a graph at a specific point in time) and time-joins (the ability to "join" two states of a graph for deeper time-oriented analysis.)
A step further, Brian explores where blockchain immutability can help bring trust to open knowledge graphs for data collaboration beyond borders. Leveraging blockchain technology to natively time-stamp a chain of RDF facts can bring an element of data-driven trust to open knowledge graphs.