Abstract
In this paper we present our experience working on the problem of detecting suspicious activity using OWL ontologies and inference rules. For this purpose we implemented partial solutions using three different rule engines - BaseVISor, Jena and Jess. Each of them required different levels of effort and each had its strengths and weaknesses. We describe our impressions from working with each engine, focusing on the ease of writing and reading rules, support for RDF-based documents, support for different methods of reasoning and interoperability.
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© 2008 Springer-Verlag Berlin Heidelberg
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Moskal, J., Matheus, C.J. (2008). Detection of Suspicious Activity Using Different Rule Engines — Comparison of BaseVISor, Jena and Jess Rule Engines. In: Bassiliades, N., Governatori, G., Paschke, A. (eds) Rule Representation, Interchange and Reasoning on the Web. RuleML 2008. Lecture Notes in Computer Science, vol 5321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88808-6_10
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DOI: https://doi.org/10.1007/978-3-540-88808-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88807-9
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