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Living with the Semantic Gap: Experiences and remedies in the context of medical imaging

Living with the Semantic Gap: Experiences and remedies in the context of medical imaging
Living with the Semantic Gap: Experiences and remedies in the context of medical imaging
Semantic annotation of images is a key concern for the newly emerged applications of semantic multimedia. Machine processable descriptions of images make it possible to automate a variety of tasks from search and discovery to composition and collage of image data bases. However, the ever occurring problem of the semantic gap between the low level descriptors and the high level interpretation of an image poses new challenges and needs to be addressed before the full potential of semantic multimedia can be realised. We explore the possibilities and lessons learnt with applied semantic multimedia from our engagement with medical imaging where we deployed ontologies and a novel distributed architecture to provide semantic annotation, decision support and methods for tackling the semantic gap problem.
Kalfoglou, Yannis
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Dasmahapatra, Srinandan
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Dupplaw, David
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Hu, Bo
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Lewis, Paul
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Shadbolt, Nigel
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Kalfoglou, Yannis
d3d242fd-4ce2-4041-b8ea-aa3b3bec3b88
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Dupplaw, David
c563ca2b-756a-4d3f-bf99-4f60bb2be1ce
Hu, Bo
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Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Shadbolt, Nigel
5c5acdf4-ad42-49b6-81fe-e9db58c2caf7

Kalfoglou, Yannis, Dasmahapatra, Srinandan, Dupplaw, David, Hu, Bo, Lewis, Paul and Shadbolt, Nigel (2006) Living with the Semantic Gap: Experiences and remedies in the context of medical imaging. 1st International Conference on Semantics and Digital Media Technologies, Greece.

Record type: Conference or Workshop Item (Paper)

Abstract

Semantic annotation of images is a key concern for the newly emerged applications of semantic multimedia. Machine processable descriptions of images make it possible to automate a variety of tasks from search and discovery to composition and collage of image data bases. However, the ever occurring problem of the semantic gap between the low level descriptors and the high level interpretation of an image poses new challenges and needs to be addressed before the full potential of semantic multimedia can be realised. We explore the possibilities and lessons learnt with applied semantic multimedia from our engagement with medical imaging where we deployed ontologies and a novel distributed architecture to provide semantic annotation, decision support and methods for tackling the semantic gap problem.

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More information

Published date: December 2006
Additional Information: Event Dates: December 2006
Venue - Dates: 1st International Conference on Semantics and Digital Media Technologies, Greece, 2006-12-01
Organisations: Web & Internet Science, Southampton Wireless Group

Identifiers

Local EPrints ID: 268558
URI: https://eprints.soton.ac.uk/id/eprint/268558
PURE UUID: a363727f-77a8-44db-8ef7-14803a27e2b9

Catalogue record

Date deposited: 26 Feb 2010 11:48
Last modified: 19 Jul 2019 22:15

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Contributors

Author: Yannis Kalfoglou
Author: Srinandan Dasmahapatra
Author: David Dupplaw
Author: Bo Hu
Author: Paul Lewis
Author: Nigel Shadbolt

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