• DocumentCode
    1787401
  • Title

    Parameterized Spatial SQL Translation for Geographic Question Answering

  • Author

    Wei Chen

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2014
  • fDate
    16-18 June 2014
  • Firstpage
    23
  • Lastpage
    27
  • Abstract
    Spatial SQL (structured query language) is a powerful tool for systematically solving geographic problems, however, it has not been widely applied to the problem of geographic question answering. This paper introduces a parameterized approach to translate natural language geographic questions into spatial SQLs. In particular, three types of complexity are introduced and initial solutions are proposed to deal with these complexities. The entire parameterization process is implemented to generate spatial SQL templates for five types of geographic questions. It is suggested that our approach is useful for solving natural geographic problems using spatial functions such as those in a GIS.
  • Keywords
    SQL; geographic information systems; natural language processing; query processing; question answering (information retrieval); visual databases; GIS; geographic information systems; geographic question answering; natural language geographic questions; parameterized approach; parameterized spatial SQL translation; structured query language; Cities and towns; Complexity theory; Geographic information systems; Geometry; Knowledge discovery; Natural languages; Spatial databases; GIS; machine learning; natural language processing; spatial artificial intelligence; spatial ontology; spatial query;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2014 IEEE International Conference on
  • Conference_Location
    Newport Beach, CA
  • Print_ISBN
    978-1-4799-4002-8
  • Type

    conf

  • DOI
    10.1109/ICSC.2014.44
  • Filename
    6881997