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Forgetting Fragments from Evolving Ontologies

Forgetting Fragments from Evolving Ontologies
Forgetting Fragments from Evolving Ontologies
Ontologies underpin the semantic web; they define the concepts and their relationships contained in a data source. An increasing number of ontologies are available on-line, but an ontology that combines information from many different sources can grow extremely large. As an ontology grows larger, more resources are required to use it, and its response time becomes slower. Thus, we present and evaluate an on-line approach that forgets fragments from an OWL ontology that are infrequently or no longer used, or are cheap to relearn, in terms of time and resources. In order to evaluate our approach, we situate it in a controlled simulation environment, RoboCup OWLRescue, which is an extension of the widely used RoboCup Rescue platform, which enables agents to build ontologies automatically based on the tasks they are required to perform. We benchmark our approach against other comparable techniques and show that agents using our approach spend less time forgetting concepts from their ontology, allowing them to spend more time deliberating their actions, to achieve a higher average score in the simulation environment.
978-3-642-17745-3
577-592
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.
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. (2010) Forgetting Fragments from Evolving Ontologies. International Semantic Web Conference (ISWC), Shanghai, Shanghai, China. 07 - 11 Nov 2010. pp. 577-592 .

Record type: Conference or Workshop Item (Paper)

Abstract

Ontologies underpin the semantic web; they define the concepts and their relationships contained in a data source. An increasing number of ontologies are available on-line, but an ontology that combines information from many different sources can grow extremely large. As an ontology grows larger, more resources are required to use it, and its response time becomes slower. Thus, we present and evaluate an on-line approach that forgets fragments from an OWL ontology that are infrequently or no longer used, or are cheap to relearn, in terms of time and resources. In order to evaluate our approach, we situate it in a controlled simulation environment, RoboCup OWLRescue, which is an extension of the widely used RoboCup Rescue platform, which enables agents to build ontologies automatically based on the tasks they are required to perform. We benchmark our approach against other comparable techniques and show that agents using our approach spend less time forgetting concepts from their ontology, allowing them to spend more time deliberating their actions, to achieve a higher average score in the simulation environment.

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More information

Published date: 1 November 2010
Additional Information: Awarded Best Student Paper - http://iswc2010.semanticweb.org/awards Event Dates: 7-11 November 2010
Venue - Dates: International Semantic Web Conference (ISWC), Shanghai, Shanghai, China, 2010-11-07 - 2010-11-11
Organisations: Web & Internet Science, Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 271555
URI: http://eprints.soton.ac.uk/id/eprint/271555
ISBN: 978-3-642-17745-3
PURE UUID: 5af47618-01df-46b5-ad09-563bae881e85
ORCID for Nicholas Gibbins: ORCID iD orcid.org/0000-0002-6140-9956

Catalogue record

Date deposited: 17 Sep 2010 09:26
Last modified: 15 Mar 2024 02:59

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Contributors

Author: Heather S. Packer
Author: Nicholas Gibbins ORCID iD
Author: Nicholas R. Jennings

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