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Detecting hidden errors in an ontology using contextual knowledge

Detecting hidden errors in an ontology using contextual knowledge
Detecting hidden errors in an ontology using contextual knowledge
Due to modeling errors in designing ontologies, an ontology may carry incorrect information. Ontology debugging can be helpful in detecting errors in ontologies that are increasing in size and expressiveness day by day. While current ontology debugging methods can detect logical errors (incoherences and inconsistencies), they are incapable of detecting hidden modeling errors in coherent and consistent ontologies. From the logical perspective, there are no errors in such ontologies, but this study shows some modeling errors may not break the coherency of the ontology by not participating in any contradiction. In this paper, contextual knowledge is exploited to detect such hidden errors. Our experiments show that adding general ontologies like DBpedia as contextual knowledge in the ontology debugging process results in detecting contradictions in ontologies that are coherent.
0957-4174
312-323
Nematbakhsh, Mohammadali
649b17f8-864a-4546-b200-0a0088b5028d
Teymourlouie, Mehdi
7ee419dd-6598-47da-bf39-272b98d29a70
Zaeri, Ahmad
cbd9d4b5-96d0-4504-ae00-c36054fad68c
Thimm, Matthias
ec2f5286-032e-47c9-b169-811a2fa5d3f8
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Nematbakhsh, Mohammadali
649b17f8-864a-4546-b200-0a0088b5028d
Teymourlouie, Mehdi
7ee419dd-6598-47da-bf39-272b98d29a70
Zaeri, Ahmad
cbd9d4b5-96d0-4504-ae00-c36054fad68c
Thimm, Matthias
ec2f5286-032e-47c9-b169-811a2fa5d3f8
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49

Nematbakhsh, Mohammadali, Teymourlouie, Mehdi, Zaeri, Ahmad, Thimm, Matthias and Staab, Steffen (2018) Detecting hidden errors in an ontology using contextual knowledge. Expert Systems with Applications, 95, 312-323. (doi:10.1016/j.eswa.2017.11.034).

Record type: Article

Abstract

Due to modeling errors in designing ontologies, an ontology may carry incorrect information. Ontology debugging can be helpful in detecting errors in ontologies that are increasing in size and expressiveness day by day. While current ontology debugging methods can detect logical errors (incoherences and inconsistencies), they are incapable of detecting hidden modeling errors in coherent and consistent ontologies. From the logical perspective, there are no errors in such ontologies, but this study shows some modeling errors may not break the coherency of the ontology by not participating in any contradiction. In this paper, contextual knowledge is exploited to detect such hidden errors. Our experiments show that adding general ontologies like DBpedia as contextual knowledge in the ontology debugging process results in detecting contradictions in ontologies that are coherent.

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Accepted/In Press date: 15 November 2017
e-pub ahead of print date: 15 November 2017
Published date: 1 April 2018

Identifiers

Local EPrints ID: 418405
URI: http://eprints.soton.ac.uk/id/eprint/418405
ISSN: 0957-4174
PURE UUID: 07f86936-8c87-459e-b1ff-511ae827de22
ORCID for Steffen Staab: ORCID iD orcid.org/0000-0002-0780-4154

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Date deposited: 06 Mar 2018 17:30
Last modified: 07 Oct 2020 02:07

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Contributors

Author: Mohammadali Nematbakhsh
Author: Mehdi Teymourlouie
Author: Ahmad Zaeri
Author: Matthias Thimm
Author: Steffen Staab ORCID iD

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