Decision tables are a simple yet important and powerful tool to help implement the complex logic of many domains, e.g. the business decision supporting domain. However, often the definition of concepts, variables and rules that underlie the decision table remain or become implicit. As the decision tables get larger, ambiguities, inconsistencies and conceptual reasoning difficulties arise, and building such decision tables becomes a time-consuming and difficult task. In order to address this problem, we introduce ontologies to represent, store and maintain the domain concepts and application rules. Properly annotated Semantic Decision Table, of which the rules are generated from the formal ontological commitment, is proposed. The annotated decision tables together with the existing domain ontologies constitute the kernel of the default decision generating process of the agent. We demonstrate the generating process through the ontological commitment in PROLOG prototype implementation.
|Name||Proceedings of International Conference on Information Technology and Management (ICITM 2007)|
|Conference||Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet|
|Period||21/09/09 → 25/09/09|
Chan Man-Chung;James N.K.Liu;Ronnie Cheung;Joe Zhou
- decision table
- SDT annotation