Service Configuration Knowledge Representation, Acquisition and Reasoning

To appropriately meet increasingly diverse customer needs, services are committed to certain configuration in a paradigm similar with product mass customization. This paper presents a hybrid approach based on ontologies and rules to achieve representing, acquiring and reasoning service configuration knowledge. Structural knowledge is represented by ontology and formalized by OWL, resulting in well-defined semantics. Rule knowledge is represented in SWRL, a rule language based on OWL. In addition, rule knowledge is aquired by LCNN and rulex. Finally, knowledge reasoning is carried out based on the JESS rule engine.