• DocumentCode
    1603537
  • Title

    An Ontological Approach for Natural Language Command Interpretation and Its Application in Robotics

  • Author

    Kim, Jaehong ; Jang, Minsu ; Sohn, Joo-Chan

  • Author_Institution
    Intelligent Robot Res. Div., ETRI, Daejeon
  • fYear
    2006
  • Firstpage
    3874
  • Lastpage
    3878
  • Abstract
    We present an ontological approach for interpreting natural language commands as well as an application to intelligent robots. In our approach, we first extract meaningful keywords from the user commands by adopting lexico-semantic pattern matching. A structured representation is then built by extracting and arranging meta-data for each keyword. The data is then transformed into an ontological knowledge representation. We implemented a prototype interpretation system, and applied it to the voice user interface of an intelligent mobile robot. The system was tested with several commands for querying weather or traffic information and controlling the robot and various digital home devices. The present experiments with an ontological based interpretation scheme demonstrate that the coverage of user commands can be easily extended, as the representation is logical and declarative
  • Keywords
    intelligent robots; meta data; mobile robots; natural language interfaces; ontologies (artificial intelligence); pattern matching; speech recognition; speech-based user interfaces; ubiquitous computing; intelligent mobile robot; lexico-semantic pattern matching; meta data; natural language command interpretation; ontological knowledge representation; ubiquitous computing; voice user interface; Data mining; Intelligent robots; Knowledge representation; Mobile robots; Natural languages; Ontologies; Pattern matching; Prototypes; System testing; User interfaces; Command Interpretation; Intelligent Robot; Ontological Approach; Ubiquitous Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE-ICASE, 2006. International Joint Conference
  • Conference_Location
    Busan
  • Print_ISBN
    89-950038-4-7
  • Electronic_ISBN
    89-950038-5-5
  • Type

    conf

  • DOI
    10.1109/SICE.2006.314844
  • Filename
    4108439