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    A Geographical Knowledge Representation System (GKRS)for Multimedia Geospatial Retrieval and Analysis

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    Author
    Chen, Hsinchun
    Smith, Terrence R.
    Larsgaard, Mary L.
    Hill, Linda L.
    Ramsey, Marshall C.
    Issue Date
    1997-09
    Submitted date
    2004-09-20
    Keywords
    Evaluation
    Digital Libraries
    Local subject classification
    National Science Digital Library
    NSDL
    Artificial intelligence lab
    AI lab
    Geographic Knowledge Representation System (GKRS)
    
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    Citation
    A Geographical Knowledge Representation System (GKRS)for Multimedia Geospatial Retrieval and Analysis 1997-09, 1(2):132-152 International Journal of Digital Libraries
    Publisher
    Springer-Verlag
    Journal
    International Journal of Digital Libraries
    Description
    Artificial Intelligence Lab, Department of MIS, University of Arizona
    URI
    http://hdl.handle.net/10150/105551
    Abstract
    Digital libraries serving multimedia information that may be accessed in terms of geographic content and relationships are creating special challenges and opportunities for networked information systems. An especially challenging research issue concerning collections of geo-referenced information relates to the development of techniques supporting geographic information retrieval (GIR) that is both fuzzy and concept-based. Viewing the meta-information environment of a digital library as a heterogeneous set of services that support users in terms of GIR, we define a geographic knowledge representation system (GKRS) in terms of a core set of services of the meta-information environment that is required in supporting concept-based access to collections of geospatial information. In this paper, we describe an architecture for a GKRS and its implementation in terms of a prototype system. Our GKRS architecture loosely couples a variety of multimedia knowledge sources that are in part represented in terms of the semantic network and neural network representations developed in artificial intelligence research. Both textual analysis and image processing techniques are employed in creating these textual and iconic geographcal knowledge structures. The GKRS also employs spreading activation algorithms in support of concept-based knowledge retrieval. The- paper describes implementational details of several of the components of the GKRS as well as discussing both the lessons learned from, and future directions of, our research.
    Type
    Journal Article (Paginated)
    Language
    en
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