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    Support Concept-based Multimedia Information Retrieval: A Knowledge Management Approach

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    Author
    Zhu, Bin
    Ramsey, Marshall C.
    Chen, Hsinchun
    Hauck, Roslin V.
    Ng, Tobun Dorbin
    Schatz, Bruce R.
    Issue Date
    1999
    Submitted date
    2004-09-04
    Keywords
    Evaluation
    Knowledge Management
    Digital Libraries
    Local subject classification
    National Science Digital Library
    NSDL
    Artificial Intelligence lab
    AI lab
    Information retrieval
    
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    Citation
    Support Concept-based Multimedia Information Retrieval: A Knowledge Management Approach 1999,
    Description
    Artificial Intelligence Lab, Department of MIS, University of Arizona
    URI
    http://hdl.handle.net/10150/106482
    Abstract
    Identified as an important management concept five years ago (Gamer 1999), knowledge management (KM) aims to enable organizations to capture, organize, and access their intellectual assets. This paper proposes a prototype system that applies a knowledge management approach to support concept-based multimedia information retrieval by integrating various information analysis and image processing techniques. The proposed system uses geographical information as its testbed and aims to provide flexibility to users in terms of specifying their information needs and to facilitate parallel extraction ofinformation in different formats (i.e., text, image). Our testbed selection is based not only on the fact that geographical information has become an important resource supporting organization decision making, but also on the diversity of its information media and the fuzziness of geo-spatial queries. We hope that the proposed system will improve the accessibility of geographical information in different media and provide an example of integrating various information and multimedia techniques to support concept-based cross-media information retrieval.
    Type
    Conference Paper
    Language
    en
    Collections
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