From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation
Mihai Pomarlan, Robert Porzel, John A. Bateman, Rainer Malaka · 2018
We propose the combination of a robotics ontology (KnowRob) with a linguistically motivated one (GUM) under the upper ontology DUL.We use the DUL Event, Situation, Description pattern to formalize reasoning techniques to convert between a robot's beliefstate and its linguistic utterances.We plan to employ these techniques to equip robots with a reason-aloud ability, through which they can explain their actions as they perform them, in natural language, at a level of granularity appropriate to the user, their query and the context at hand.