• DocumentCode
    3334816
  • Title

    Geospatial Resource Description Framework (GRDF) and security constructs

  • Author

    Alam, Ashraful ; Khan, Latifur ; Thuraisingham, Bhavani

  • Author_Institution
    Univ. of Texas at Dallas, Richardson, TX
  • fYear
    2008
  • fDate
    7-12 April 2008
  • Firstpage
    475
  • Lastpage
    481
  • Abstract
    The semantic Web enables an automated, ontology based information aggregation mechanism. In geographic domain, automatic aggregation is a particularly important task in light of the over-abundance of data formats and types. Because the formats and types are not necessarily uniform or adhere to a particular information structure, aggregating geospatial data with differing formats is a challenging task. The aggregation is extremely useful in many areas such as business, academic, homeland security and public awareness. In this paper, we propose a set of geospatial constructs written in Web ontology language (OWL) and collectively referred to as geographic resource description framework (GRDF).Our goal is to propose a broad, semantics-aware and expressive language for geospatial domain. The most important advantage GRDF has over other geospatial languages is the ability to use logical inference and dynamic content aggregation. We also publish our work on security constructs for GRDF that allows domain experts and software developers to address the security concerns as part of the core development process instead of an ad-hoc course of action.
  • Keywords
    geographic information systems; ontologies (artificial intelligence); security of data; semantic Web; dynamic content aggregation; geospatial language; geospatial resource description framework; information aggregation mechanism; logical inference; security construct; semantic Web ontology language; Data security; Databases; Encoding; Information security; OWL; Ontologies; Resource description framework; Semantic Web; Terrorism; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshop, 2008. ICDEW 2008. IEEE 24th International Conference on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4244-2161-9
  • Electronic_ISBN
    978-1-4244-2162-6
  • Type

    conf

  • DOI
    10.1109/ICDEW.2008.4498363
  • Filename
    4498363