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

Persistent Link:
http://hdl.handle.net/10150/106482
Title:
Support Concept-based Multimedia Information Retrieval: A Knowledge Management Approach
Author:
Zhu, Bin; Ramsey, Marshall C.; Chen, Hsinchun; Hauck, Roslin V.; Ng, Tobun Dorbin; Schatz, Bruce R.
Citation:
Support Concept-based Multimedia Information Retrieval: A Knowledge Management Approach 1999,
Issue Date:
1999
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/106482
Submitted date:
2004-09-04
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
Keywords:
Evaluation; Knowledge Management; Digital Libraries
Local subject classification:
National Science Digital Library; NSDL; Artificial Intelligence lab; AI lab; Information retrieval

Full metadata record

DC FieldValue Language
dc.contributor.authorZhu, Binen_US
dc.contributor.authorRamsey, Marshall C.en_US
dc.contributor.authorChen, Hsinchunen_US
dc.contributor.authorHauck, Roslin V.en_US
dc.contributor.authorNg, Tobun Dorbinen_US
dc.contributor.authorSchatz, Bruce R.en_US
dc.date.accessioned2004-09-04T00:00:01Z-
dc.date.available2010-06-18T23:48:16Z-
dc.date.issued1999en_US
dc.date.submitted2004-09-04en_US
dc.identifier.citationSupport Concept-based Multimedia Information Retrieval: A Knowledge Management Approach 1999,en_US
dc.identifier.urihttp://hdl.handle.net/10150/106482-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractIdentified 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.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectEvaluationen_US
dc.subjectKnowledge Managementen_US
dc.subjectDigital Librariesen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial Intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherInformation retrievalen_US
dc.titleSupport Concept-based Multimedia Information Retrieval: A Knowledge Management Approachen_US
dc.typeConference Paperen_US
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