An approach to learning OWL ontology from enterprise legacy intelligent systems
Guishi Deng · Dalian Ligong Daxue xuebao · 2009
In order to get around ambiguities in Chinese word segmentation and reuse a lot of domain knowledge in enterprise legacy intelligent system,a novel approach to learning OWL ontology from legacy intelligent systems is proposed.On the basis of analyzing the element correspondence between relational database schema,tuple set and OWL ontology,the approach is specified in detail.Compared with existing methods,the approach is more appropriate for actual engineering application and its data source implies more domain knowledge.OWL ontology from legacy intelligent systems can be acquired automatically via a simple translation algorithm with low time-complexity instead of using a middle model or a lot of abstract learning rules,and numerous knowledge items about rules and cases(tuple set) can be reused as instances of OWL ontology according to certain priority.Validation of the approach is done by an application instance learning OWL ontology from a legacy intelligent system in the wide range of tooling man-hour rationing.