Support concept-based multimedia information retrieval: a knowledge management approach

Identified as an important management concept five years ago (Garner 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 of information 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.

[1]  K. J. Lynch,et al.  Generating, integrating, and activating thesauri for concept-based document retrieval , 1993, IEEE Expert.

[2]  Gerald Salton,et al.  Automatic text processing , 1988 .

[3]  Lorne Olfman,et al.  Organizational Memory , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[4]  Hsinchun Chen,et al.  Concept-based searching and browsing: a geoscience experiment , 2001, J. Inf. Sci..

[5]  Ray R. Larson,et al.  Geographic information retrieval and spatial browsing , 1996 .

[6]  Joy Tillotson.  Is Keyword Searching the Answer , 1995 .

[7]  Hsinchun Chen,et al.  An algorithmic approach to concept exploration in a large knowledge network (automatic thesaurus consultation): symbolic branch-and-bound search vs. connectionist Hopfield net activation , 1995 .

[8]  Alex Pentland,et al.  Photobook: tools for content-based manipulation of image databases , 1994, Other Conferences.

[9]  H. Chen,et al.  An Algorithmic Approach to Concept Exploration in a Large Knowledge Network (Automatic Thesaurus Consultation): Symbolic Branch-and-Bound Search vs. Connectionist Hopfield Net Activation , 1995, J. Am. Soc. Inf. Sci..

[10]  Gerald J. Kowalski,et al.  Information Retrieval Systems , 1997, The Information Retrieval Series.

[11]  Hsinchun Chen,et al.  Validating a Geographical Image Retrieval System. , 2000 .

[12]  B. S. Manjunath,et al.  Texture Features for Browsing and Retrieval of Image Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Jean-Paul A. Barthès,et al.  Knowledge Management , 1994, Encyclopedia of Database Systems.

[14]  Tobun Dorbin Ng,et al.  Alleviating search uncertainty through concept associations: automatic indexing, co-occurrence analysis, and parallel computing , 1998 .

[15]  Bin Zhu,et al.  Validating a geographical image retrieval system , 2000, J. Am. Soc. Inf. Sci..

[16]  J A Swets,et al.  Information Retrieval Systems. , 1963, Science.

[17]  Richard P. Lippmann,et al.  An introduction to computing with neural nets , 1987 .

[18]  Hsinchun Chen,et al.  A Parallel Computing Approach to Creating Engineering Concept Spaces for Semantic Retrieval: The Illinois Digital Library Initiative Project , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Timo Honkela,et al.  Newsgroup Exploration with WEBSOM Method and Browsing Interface , 1996 .

[20]  Vladimir Slamecka,et al.  INDEXER CONSISTENCY UNDER MINIMAL CONDITIONS , 1962 .

[21]  Dragutin Petkovic,et al.  Query by Image and Video Content: The QBIC System , 1995, Computer.

[22]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[23]  Joseph F. Coates.  The Inevitability of Knowledge Management , 1999 .

[24]  Risto Miikkulainen,et al.  Subsymbolic natural language processing - an integrated model of scripts, lexicon, and memory , 1993, Neural network modeling and connectionism.

[25]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[26]  K. J. Lynch,et al.  Automatic construction of networks of concepts characterizing document databases , 1992, IEEE Trans. Syst. Man Cybern..

[27]  Mary Elizabeth Stevens,et al.  Automatic indexing : a state-of-the art report , 1965 .