• DocumentCode
    189037
  • Title

    Modelling Metropolitan Activity through Abductive Reasoning on Geographic Space

  • Author

    Pileggi, Salvatore F. ; Amor, Robert

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2014
  • fDate
    11-13 Sept. 2014
  • Firstpage
    783
  • Lastpage
    788
  • Abstract
    This paper proposes a novel approach to define geographic space focusing on the integration of a common geographical specification of the space with complex semantics aimed at a more active role of the space inside information processing tasks. Generic data (called Activity) is processed in the space model in order to retrieve a well defined behaviour of the parameters of interest in the target spaces. A domain-specific semantic understanding of the whole data ecosystem allows one to overcome unrealistic assumptions to switch to an effective reasoning on the space.
  • Keywords
    Big Data; data analysis; geographic information systems; inference mechanisms; abductive reasoning; domain-specific semantic understanding; geographic space; geographical specification; information processing task; metropolitan activity modelling; whole data ecosystem; Cognition; Complexity theory; Computational modeling; Context; Data models; Ecosystems; Semantics; Behaviour Modelling; Big Data; Geographic Information Systems; Semantic Reasoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2014 IEEE International Conference on
  • Conference_Location
    Xi´an
  • Type

    conf

  • DOI
    10.1109/CIT.2014.100
  • Filename
    6984751