Towards semantically grounded decision rules using ORM+

Authors:
Yan Tang;Peter Spyns;Robert Meersman
Affiliations:
Semantics Technology and Applications Research Laboratory, Department of Computer Science, Vrije Universiteit Brussel, Brussel 5, Belgium;Semantics Technology and Applications Research Laboratory, Department of Computer Science, Vrije Universiteit Brussel, Brussel 5, Belgium;Semantics Technology and Applications Research Laboratory, Department of Computer Science, Vrije Universiteit Brussel, Brussel 5, Belgium
Venue:
RuleML'07 Proceedings of the 2007 international conference on Advances in rule interchange and applications
Year:
2007

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Abstract

Recently, ontologies are proposed for many purposes to assist decision making, such as representing terminology and categorizing information. Current ontology-based decision support systems mainly contain semantically rich decision rules. In order to ground the semantics, we formalize those rules by committing them to domain ontologies. Those semantically grounded decision rules can represent the semantics precisely, thus improve the functionalities of many available rule engines. We model and visualize the rules by means of a novel extension of ORM. These rules are further stored in an XML-based markup language, ORM+ ML, which is a hybrid language of Rule-ML and ORM-ML. We demonstrate in the field of on-line customer management.