Article

Capturing task knowledge for geo-spatial imagery

Authors:

Dympna O'Sullivan,

Eoin McLoughlin,

Michela Bertolotto,

David C. WilsonAuthors Info & Claims

K-CAP '03: Proceedings of the 2nd international conference on Knowledge capture

Pages 78 - 87

https://doi.org/10.1145/945645.945659

Published: 23 October 2003 Publication History

Abstract

Geo-spatial image databases are employed in a wide range of applications, such as intelligence operations, recreational and professional mapping, urban and industrial planning, and tourism systems. Effective retrieval of relevant images from such digital libraries can employ knowledge about what an image contains, why image contents are important in a particular domain, and how specific images have been used for particular domain tasks. Approaches to annotation for multimedia information retrieval have typically focused on the first two types of knowledge; however, managing the knowledge implicit in using geo-spatial imagery to address particular tasks can be crucial for capturing and making the most effective use of organisational knowledge assets. We are developing case-based knowledge-management support for large geo-spatial image repositories that scaffolds task-based knowledge capture about a content-based sketch query mechanism. This paper describes our task-centric approach to image annotation and retrieval, and it presents our initial implementation of the approach.

References

[1]

J. Barber, S. Bhatta, A. Goel, M. Jacobsen, and M. Pearce. AskJeff: Integrating case-based reasoning and multimedia technologies for interface design support. In J. Gero, editor, Artificial Intelligence in Design, pages 457--476, Boston, 1992. Kluwer.]]

[2]

M. Bertolotto, J. D. Carswell, and D. Wilson. Managing geo-spatial imagery and knowledge. In Proceedings of the 10th Geographical Information Systems Research---UK Conference (GISRUK), pages 28--31.]]

[3]

J. Budzik, K. Hammond, and L. Birnbaum. Information access in context. Knowledge Based Systems, 14(1-2):37--53, 2001.]]

Digital Library

[4]

R. Burke and A. Kass. Retrieving stories for case-based teaching. In D. Leake, editor, Case-Based Reasoning: Experiences, Lessons, and Future Directions, pages 93--109. AAAI Press, Menlo Park, CA, 1996.]]

[5]

J. Carswell. Using Raster Sketches for Digital Image Retrieval. PhD thesis, University of Maine, Orono, Maine, USA, 2000.]]

[6]

J. D. Carswell, D. C. Wilson, and M. Bertolotto. Digital image similarity for geo-spatial knowledge management. In Proceedings of the Sixth European Conference on Case Based Reasoning, pages 58--72, Berlin, 2002. Springer-Verlag.]]

Digital Library

[7]

P.-A. Champin, Y. Prie, and A. Mille. Annotating with uses: a promising way to the semantic web. In K-CAP 2001 Workshop on Knowledge Markup and Semantic Annotation, pages 79--86, 2001.]]

[8]

M. Claypool, P. Le, M. Wased, and D. Brown. Implicit interest indicators. In Proceedings of the International Conference on Intelligent User Interfaces, pages 33--40, 2001.]]

Digital Library

[9]

M. J. Egenhofer. Spatial-query-by-sketch. In M. Burnett and W. Citrin edts., editors, VL'96: IEEE Symposium on Visual Languages, Boulder, CO, pages 60--67, 1996.]]

Digital Library

[10]

E. Egyed-Zsigmond, Y. Prie, and A. Mille. Club (trefle): a use trace model. In Proceedings of the Fifth International Conference on Case-Based Reasoning, 2003.]]

[11]

M. Flickner, H. Sawhney, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele, and P. Yanker. Query by image and video content: The QBIC system. IEEE Computer, 28(9):23--32, 1995.]]

Digital Library

[12]

D. Leake, L. Birnbaum, K. Hammond, C. Marlow, and H. Yang. Integrating information resources: A case study of engineering design support. In Proceedings of the Third International Conference on Case-Based Reasoning, pages 482--496, Berlin, 1999. Springer Verlag.]]

Digital Library

[13]

D. B. Leake and D. C. Wilson. A case-based framework for interactive capture and reuse of design knowledge. Applied Intelligence, 14(1), 2001.]]

Digital Library

[14]

H. Lieberman. Letizia: An agent that assists web browsing. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, San Francisco, CA, August 1995. Morgan Kaufmann.]]

[15]

D. O'Sullivan, D. Wilson, and B. Smyth. Explicit vs. implicit profiling--- a case-study in electronic programme guides. In Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03), 2003.]]

[16]

S. T. Perry and P. H. Lewis. A novel image viewer providing fast object delineation for content based retrieval and navigation. In SPIE Conference on Storage and Retrieval for Image and Video Databases VI, volume 3312, pages 436--445. SPIE, jan 1998.]]

[17]

G. Salton and M. McGill. Introduction to modern information retrieval. McGraw-Hill, New York, 1983.]]

Digital Library

[18]

M. Worring, A. Bagdanov, J. v. Gemerr, J.-M. Geusebroek, M. Hoang, A. T. Schreiber, C. Snoek, J. Vendrig, J. Wielemaker, and A. Smeulders. Interactive indexing and retrieval of multimedia content. 2002.]]

Cited By

Bertolotto MCarswell JMcLoughlin EO’Sullivan DWilson D(2006)Using sketches and knowledge bases for geo-spatial image retrievalComputers, Environment and Urban Systems10.1016/j.compenvurbsys.2004.03.00130:1(29-53)Online publication date: Jan-2006
https://doi.org/10.1016/j.compenvurbsys.2004.03.001
O'Sullivan DMcLoughlin EBertolotto MWilson D(2005)Context-Oriented image retrievalProceedings of the 5th international conference on Modeling and Using Context10.1007/11508373_26(339-352)Online publication date: 5-Jul-2005
https://dl.acm.org/doi/10.1007/11508373_26
O’Sullivan DMcLoughlin EBertolotto MWilson D(2004)A Case-Based Approach to Managing Geo-spatial Imagery TasksAdvances in Case-Based Reasoning10.1007/978-3-540-28631-8_51(702-716)Online publication date: 2004
https://doi.org/10.1007/978-3-540-28631-8_51
Show More Cited By

Index Terms

Capturing task knowledge for geo-spatial imagery
1. Computing methodologies
  1. Machine learning
    1. Learning settings
2. Information systems
  1. Information retrieval
    1. Document representation
  2. Information systems applications
    1. Multimedia information systems

Recommendations

Knowledge capture and reuse for geo-spatial imagery tasks
ICCBR'03: Proceedings of the 5th international conference on Case-based reasoning: Research and Development

The continuously increasing amount and availability of geospatial image data is giving rise to problems of information overload in organisations that rely on digital geo-spatial imagery. Intelligent support for relevant image retrieval is needed in ...
Capturing software-engineering tacit knowledge
ECC'08: Proceedings of the 2nd conference on European computing conference

Knowledge management systems are aimed to provide knowledge-intensive organisations with tools, and methods to better manage their knowledge capital. A great success is gained in the course of managing explicit knowledge in the form documented knowledge ...
Impact of Knowledge Management Practices on Task Knowledge: An Individual Level Study

Organizational level studies of knowledge management have been hampered by the lack of measures of individual level knowledge management practices and outcomes that can be used as success criteria to determine whether, or to what degree, specific ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

K-CAP '03: Proceedings of the 2nd international conference on Knowledge capture

October 2003

198 pages

ISBN:1581135831

DOI:10.1145/945645

Conference Chairs:
John Gennari
University of Washington
,
Bruce Porter
University of Texas at Austin
,
General Chair:
Yolanda Gil
USC/Information Sciences Institute

Copyright © 2003 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGAI: ACM Special Interest Group on Artificial Intelligence

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2003

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Conference

K-CAP03

Sponsor:

SIGAI

K-CAP03: International Conference on Knowledge Capture 2003

October 23 - 25, 2003

FL, Sanibel Island, USA

Acceptance Rates

Overall Acceptance Rate 55 of 198 submissions, 28%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
601
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 14 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

Bertolotto MCarswell JMcLoughlin EO’Sullivan DWilson D(2006)Using sketches and knowledge bases for geo-spatial image retrievalComputers, Environment and Urban Systems10.1016/j.compenvurbsys.2004.03.00130:1(29-53)Online publication date: Jan-2006
https://doi.org/10.1016/j.compenvurbsys.2004.03.001
O'Sullivan DMcLoughlin EBertolotto MWilson D(2005)Context-Oriented image retrievalProceedings of the 5th international conference on Modeling and Using Context10.1007/11508373_26(339-352)Online publication date: 5-Jul-2005
https://dl.acm.org/doi/10.1007/11508373_26
O’Sullivan DMcLoughlin EBertolotto MWilson D(2004)A Case-Based Approach to Managing Geo-spatial Imagery TasksAdvances in Case-Based Reasoning10.1007/978-3-540-28631-8_51(702-716)Online publication date: 2004
https://doi.org/10.1007/978-3-540-28631-8_51
O’Sullivan DMcLoughlin EBertolotto MWilson D(2004)Adaptive Presentation and Navigation for Geospatial Imagery TasksAdaptive Hypermedia and Adaptive Web-Based Systems10.1007/978-3-540-27780-4_23(195-204)Online publication date: 2004
https://doi.org/10.1007/978-3-540-27780-4_23

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents