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

Zhu, Bin and Ramsey, Marshall C. and Chen, Hsinchun and Hauck, Roslin V. and Ng, Tobun Dorbin and Schatz, Bruce R. (1999) Support Concept-based Multimedia Information Retrieval: A Knowledge Management Approach. In Proceedings International Conference on Information Systems, Charlotte, NC.

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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.

EPrint Type:Conference Paper
Keywords:National Science Digital Library, NSDL, Artificial Intelligence Lab, AI Lab, Information Retrieval
Subjects:Evaluation
Knowledge Management
Digital Libraries
ID Code:468
Deposited On:04 September 2004
Alternative Locations:http://ai.bpa.arizona.edu/go/conference.htm
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