@inproceedings{pomarlan-etal-2018-sensors,
    title = "From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation",
    author = "Pomarlan, Mihai  and
      Porzel, Robert  and
      Bateman, John  and
      Malaka, Rainer",
    editor = "Foster, Mary Ellen  and
      Buschmeier, Hendrik  and
      Gkatzia, Dimitra",
    booktitle = "Proceedings of the Workshop on {NLG} for Human{--}Robot Interaction",
    month = nov,
    year = "2018",
    address = "Tilburg, The Netherlands",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W18-6904/",
    doi = "10.18653/v1/W18-6904",
    pages = "17--21",
    abstract = "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."
}