• DocumentCode
    3585309
  • Title

    Gist of Text Extraction

  • Author

    Mahmoudi, Khaoula ; Faiz, Sami

  • Author_Institution
    Lab. LTSIRS, ENIT, Tunis, Tunisia
  • fYear
    2014
  • Firstpage
    179
  • Lastpage
    186
  • Abstract
    The amount of spatial information we are managing is continuously in growth. Such information is increasingly used in most economic sectors by having a direct impact on productivity. Geographic information system (GIS) stores spatial data in geographic databases (GDB). Typically, such databases do not store all the data and details needed to sustain decision makers, since this entails a high cost of data processing and maintenance. In front to this situation, new technologies were proposed to pursue the relevant and timely information. Concretely, this is accomplished through data enrichment. In this context, we propose an approach to enrich the semantic aspect of the GDB. The objective is to save time in retrieving and updating the data to reflect the current state of geographic entities.
  • Keywords
    data mining; geographic information systems; information retrieval; GDB; GIS; data enrichment; geographic databases; geographic information system; semantic aspect; spatial information; text extraction; Data processing; Filtering; Geographic information systems; Satellites; Semantics; Spatial databases; GIS; RST analysis; data enrichment; segmentation; topic identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal-Image Technology and Internet-Based Systems (SITIS), 2014 Tenth International Conference on
  • Type

    conf

  • DOI
    10.1109/SITIS.2014.37
  • Filename
    7081545