• DocumentCode
    2130127
  • Title

    Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective

  • Author

    Appice, Annalisa ; Ciampi, Anna ; Lanza, Antonietta ; Malerba, Donato ; Rapolla, Antonella ; Vetturi, Luisa

  • Author_Institution
    Dipt. di Inf., Univ. degli Studi di Bari, Bari
  • fYear
    2008
  • fDate
    15-19 Dec. 2008
  • Firstpage
    326
  • Lastpage
    331
  • Abstract
    INGENS is a prototype of GIS which integrates a geographic knowledge discovery engine to mine several kinds of spatial KDD objects from the topographic maps stored in a spatial database. In this paper we describe the main principles of an inductive spatial database in INGENS. Inductive database allows to keep permanent KDD objects and integrate database technology with systems for the geographic knowledge generation. In contrast to traditional spatial database technology, inductive database allows to answer queries which require synthesizing and applying plausible knowledge which is generated by (inductive) inference from both spatial objects and KDD objects (prior knowledge) stored in the same database.
  • Keywords
    data mining; geographic information systems; inference mechanisms; visual databases; GIS; INGENS; geographic knowledge discovery; geographic knowledge generation; inductive database perspective; inference; permanent KDD objects; spatial database; topographic maps; Association rules; Conferences; Data mining; Database languages; Database systems; Deductive databases; Geographic Information Systems; Knowledge management; Prototypes; Spatial databases; GIS; geographic knowledge discovery; inductive database; spatial data mining query language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops, 2008. ICDMW '08. IEEE International Conference on
  • Conference_Location
    Pisa
  • Print_ISBN
    978-0-7695-3503-6
  • Electronic_ISBN
    978-0-7695-3503-6
  • Type

    conf

  • DOI
    10.1109/ICDMW.2008.120
  • Filename
    4733952