An on-line algorithm for semantic forgetting
An on-line algorithm for semantic forgetting
Ontologies that evolve through use to support new domain tasks can grow extremely large. Moreover, large ontologies require more resources to use and have slower response times than small ones. To help address this problem, we present an on-line semantic forgetting algorithm that removes ontology fragments containing infrequently used or cheap to relearn concepts. We situate our algorithm in an extension of the widely used RoboCup Rescue platform, which provides simulated tasks to agents. We show that our agents send fewer messages and complete more tasks, and thus achieve a greater degree of success, than other state-of-the-art approaches.
978-1-57735-515-1
2704-2709
Packer, Heather S.
0e86c31f-6460-4bbd-b6ac-c717ee2cbd96
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Jennings, Nicholas R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
July 2011
Packer, Heather S.
0e86c31f-6460-4bbd-b6ac-c717ee2cbd96
Gibbins, Nicholas
98efd447-4aa7-411c-86d1-955a612eceac
Jennings, Nicholas R.
ab3d94cc-247c-4545-9d1e-65873d6cdb30
Packer, Heather S., Gibbins, Nicholas and Jennings, Nicholas R.
(2011)
An on-line algorithm for semantic forgetting.
IJCAI'11. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence - Volume Three, Barcelona, Spain.
18 - 22 Jul 2011.
.
(doi:10.5591/978-1-57735-516-8/IJCAI11-450).
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Conference or Workshop Item
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Abstract
Ontologies that evolve through use to support new domain tasks can grow extremely large. Moreover, large ontologies require more resources to use and have slower response times than small ones. To help address this problem, we present an on-line semantic forgetting algorithm that removes ontology fragments containing infrequently used or cheap to relearn concepts. We situate our algorithm in an extension of the widely used RoboCup Rescue platform, which provides simulated tasks to agents. We show that our agents send fewer messages and complete more tasks, and thus achieve a greater degree of success, than other state-of-the-art approaches.
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Published date: July 2011
Venue - Dates:
IJCAI'11. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence - Volume Three, Barcelona, Spain, 2011-07-18 - 2011-07-22
Organisations:
Web & Internet Science, Agents, Interactions & Complexity
Identifiers
Local EPrints ID: 272176
URI: http://eprints.soton.ac.uk/id/eprint/272176
ISBN: 978-1-57735-515-1
PURE UUID: 818e6c0b-efb6-4b77-b264-3a8df7e1f327
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Date deposited: 12 Apr 2011 20:36
Last modified: 15 Mar 2024 03:00
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Author:
Heather S. Packer
Author:
Nicholas Gibbins
Author:
Nicholas R. Jennings
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