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Predicting Reasoner Performance on ABox Intensive OWL 2 EL Ontologies

Predicting Reasoner Performance on ABox Intensive OWL 2 EL Ontologies

Jeff Z. Pan, Carlos Bobed, Isa Guclu, Fernando Bobillo, Martin J. Kollingbaum, Eduardo Mena, Yuan-Fang Li
Copyright: © 2018 |Volume: 14 |Issue: 1 |Pages: 30
ISSN: 1552-6283|EISSN: 1552-6291|EISBN13: 9781522542902|DOI: 10.4018/IJSWIS.2018010101
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MLA

Pan, Jeff Z., et al. "Predicting Reasoner Performance on ABox Intensive OWL 2 EL Ontologies." IJSWIS vol.14, no.1 2018: pp.1-30. http://doi.org/10.4018/IJSWIS.2018010101

APA

Pan, J. Z., Bobed, C., Guclu, I., Bobillo, F., Kollingbaum, M. J., Mena, E., & Li, Y. (2018). Predicting Reasoner Performance on ABox Intensive OWL 2 EL Ontologies. International Journal on Semantic Web and Information Systems (IJSWIS), 14(1), 1-30. http://doi.org/10.4018/IJSWIS.2018010101

Chicago

Pan, Jeff Z., et al. "Predicting Reasoner Performance on ABox Intensive OWL 2 EL Ontologies," International Journal on Semantic Web and Information Systems (IJSWIS) 14, no.1: 1-30. http://doi.org/10.4018/IJSWIS.2018010101

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Abstract

In this article, the authors introduce the notion of ABox intensity in the context of predicting reasoner performance to improve the representativeness of ontology metrics, and they develop new metrics that focus on ABox features of OWL 2 EL ontologies. Their experiments show that taking into account the intensity through the proposed metrics contributes to overall prediction accuracy for ABox intensive ontologies.

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