Exactly, can you hold a conversation with a machine on a given subject given an ontology and a knowledge graph. It is the sort of holy grail of dialog systems. Dr. Boyd-Graber and CU Boulder had a lab working on these problems while I was with IBM doing something similar in Watson.
The ontology provides a structural linkage for both constraining the conversation and surfacing situations where the conversation has broken down. The knowledge graph provides bounds around the conversation space concepts to insure you don't go off the rails semantically.
"restaurant" and "service business" reservations have nicely constrained ontologies so that you can search them in real time and stay synced.
The ontology provides a structural linkage for both constraining the conversation and surfacing situations where the conversation has broken down. The knowledge graph provides bounds around the conversation space concepts to insure you don't go off the rails semantically.
"restaurant" and "service business" reservations have nicely constrained ontologies so that you can search them in real time and stay synced.