Reasoner Performance on Ontologies for Operations
Scott Bell, Jim Carciofini, Mark Boddy, Pete Bonasso
2014
Abstract
While creating a software suite of ontology tools for operations, we encountered several reasoner performance scaling issues. This paper describes the symptoms, the diagnosis, and the mitigation strategies used.
References
- Dentler, K., Cornet, R., ten Teije, A., and de Keizer, N. (2011). Comparison of reasoners for large ontologies in the OWL 2 EL profile. Semantic Web, 2(2):71-87.
- Horrocks, I., Patel-Schneider, P. F., Boley, H., Tabet, S., Grosof, B., and Dean, M. (2004). SWRL: A semantic web rule language combining OWL and RuleML. W3c member submission, World Wide Web Consortium.
- Kang, Y.-B., Li, Y.-F., and Krishnaswamy, S. (2012). Predicting reasoning performance using ontology metrics. In The Semantic Web-ISWC 2012, pages 198-214. Springer.
- Kang, Y.-B., Pan, J. Z., Krishnaswamy, S., Sawangphol, W., and Li, Y.-F. (2014). How long will it take? accurate prediction of ontology reasoning performance.
- Riboni, D. and Bettini, C. (2011). OWL 2 modeling and reasoning with complex human activities. Pervasive and Mobile Computing, 7(3):379-395.
- S. Bell, R. B., Boddy, M., Kortenkamp, D., and Schreckenghost, D. (2013). PRONTOE: A case study for developing ontologies for operations. In International Conference on Knowledge Engineering and Ontology Development, Vilamoura, Portugal.
- Shearer, R., Motik, B., and Horrocks, I. (2008). HermiT: A highly-efficient OWL reasoner. In Ruttenberg, A., Sattler, U., and Dolbear, C., editors, Proc. of the 5th Int. Workshop on OWL: Experiences and Directions (OWLED 2008 EU), Karlsruhe, Germany.
- Sirin, E., Parsia, B., Grau, B. C., Kalyanpur, A., and Katz, Y. (2007). Pellet: A practical owl-dl reasoner. Web Semant., 5(2):51-53.
- W3C OWL Working Group (27 October 2009). OWL 2 Web Ontology Language: Document Overview. W3C Recommendation. http://www.w3.org/TR/owl2-overview.
Paper Citation
in Harvard Style
Bell S., Carciofini J., Boddy M. and Bonasso P. (2014). Reasoner Performance on Ontologies for Operations . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014) ISBN 978-989-758-049-9, pages 304-311. DOI: 10.5220/0005082703040311
in Bibtex Style
@conference{keod14,
author={Scott Bell and Jim Carciofini and Mark Boddy and Pete Bonasso},
title={Reasoner Performance on Ontologies for Operations},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)},
year={2014},
pages={304-311},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005082703040311},
isbn={978-989-758-049-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2014)
TI - Reasoner Performance on Ontologies for Operations
SN - 978-989-758-049-9
AU - Bell S.
AU - Carciofini J.
AU - Boddy M.
AU - Bonasso P.
PY - 2014
SP - 304
EP - 311
DO - 10.5220/0005082703040311