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

Artificial Intelligence Lab, Department of MIS, University of Arizona / 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.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/106482
Date January 1999
CreatorsZhu, Bin, Ramsey, Marshall C., Chen, Hsinchun, Hauck, Roslin V., Ng, Tobun Dorbin, Schatz, Bruce R.
Source SetsUniversity of Arizona
LanguageEnglish
Detected LanguageEnglish
TypeConference Paper

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