@inproceedings{sarthou-etal-2019-semantic,
    title = "Semantic Spatial Representation: a unique representation of an environment based on an ontology for robotic applications",
    author = "Sarthou, Guillaume  and
      Clodic, Aur{\'e}lie  and
      Alami, Rachid",
    editor = "Bhatia, Archna  and
      Bisk, Yonatan  and
      Kordjamshidi, Parisa  and
      Thomason, Jesse",
    booktitle = "Proceedings of the Combined Workshop on Spatial Language Understanding ({S}p{LU}) and Grounded Communication for Robotics ({R}obo{NLP})",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/W19-1606/",
    doi = "10.18653/v1/W19-1606",
    pages = "50--60",
    abstract = "It is important, for human-robot interaction, to endow the robot with the knowledge necessary to understand human needs and to be able to respond to them. We present a formalized and unified representation for indoor environments using an ontology devised for a route description task in which a robot must provide explanations to a person. We show that this representation can be used to choose a route to explain to a human as well as to verbalize it using a route perspective. Based on ontology, this representation has a strong possibility of evolution to adapt to many other applications. With it, we get the semantics of the environment elements while keeping a description of the known connectivity of the environment. This representation and the illustration algorithms, to find and verbalize a route, have been tested in two environments of different scales."
}