@inbook{f171db2fe50443c280d1b1213fe5cf0e,
title = "A knowledge management system for intelligent retrieval of geo-spatial imagery",
abstract = "Large repositories of geo-spatial images are employed to support tasks such as intelligence operations, recreational and professional mapping, urban planning and touristic systems. As imagery is retrieved to support a specific task, the interactions, analyses, and conclusions - based on relevant imagery - may be captured together with the images as an encapsulated experience. We are developing annotation-based image retrieval techniques and knowledge-management support for large geo-spatial image repositories incorporating sketch-based querying for image retrieval and manipulation. Leveraging interactive task knowledge to support current user goals requires a smart system that can perform knowledge capture. This paper describes our initial work in intelligent annotation-based image retrieval for geo-spatial imagery systems and presents the task-based knowledge management environment we have developed to support such retrieval.",
author = "Eoin McLoughlin and Dympna O'Sullivan and Michela Bertolotto and David Wilson",
year = "2004",
doi = "10.1007/978-3-540-27814-6_63",
language = "English",
isbn = "3540225390",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "535--544",
editor = "Peter Enser and Yiannis Kompatsiaris and O{\textquoteright}Connor, {Noel E.} and Smeaton, {Alan F.} and Smeulders, {Arnold W. M.}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}