Adaptive presentation and navigation for geospatial imagery tasks

Dympna O'Sullivan, Eoin McLoughlin, Michela Bertolotto, David C. Wilson

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Advances in technology for digital image capture have given rise to information overload problems in the geosciences and fields that rely on geospatial image retrieval. To help address such imagery information overload, our research is developing methods to extract and apply contextual knowledge relating user task goals to the images being used. As users analyze imagery retrieved to support specific tasks, multiple relevant images and salient image content can be captured together with task annotations to provide a basis for contextual knowledge management support. This paper describes how our environment for image interaction leverages captured task-based knowledge to support adaptive presentation and navigation in the space of available imagery.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsPaul de Bra, Wolfgang Nejdl
PublisherSpringer Verlag
Pages195-204
Number of pages10
ISBN (Print)3540228950, 9783540277804
DOIs
Publication statusPublished - 2004
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3137
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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