Proceedings of the 6th international conference on Intelligent user interfaces
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A Case-Based Framework for Interactive Capture and Reuse of Design Knowledge
Applied Intelligence
Digital Image Similarity for Geo-spatial Knowledge Management
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Explicit vs implicit profiling: a case-study in electronic programme guides
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Club ♣ (Tréfle): a use trace model
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Context-Oriented image retrieval
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
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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.