Towards Directly Applied Ontological Constraints in a Semantic Decision Table

Decision tables have been a powerful tool for business people since a long time ago. A semantic decision table (SDT) is a decision table properly annotated with domain ontologies. It contains a set of formal agreements called commitments, which is a result from group decision making processes involving a community of business stakeholders. In this paper, we focus on validation and verification issues (V&V) for SDT. In particular, we deal with directly applied ontological constraints that are stored as SDT commitments. With them, we can detect inconsistency in an SDT. We also show how an SDT commitment can be stored in Semantic Decision Rule Markup Language (SDRule-ML). In the meanwhile, we illustrate the mapping between SDRule-ML and RDFs/OWL.