Towards semantically grounded decision rules using ORM

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