Practical approach to interoperability in production rule bases with subito

Abstract

Knowledge interoperability is an active research area in Artificial Intelligence. Rules are one of the most successful knowledge representations that currently found application in Business Rules Management Systems. Because of the increasing number of such systems, the need for efficient rule interoperability methods is still growing. Currently many approaches providing formalized models and methods were developed. Nevertheless, many of them are very general and therefore they suffer from weak tool support. This paper provides presentation of a new interoperability tool for rule-based knowledge. The tool is called Subito and it supports the formalized model of production rule representation and interchange. Thanks to the well-defined scope of model expressiveness it allows for efficient translation of rule bases expressed in such representation like CLIPS, Jess, Drools or XTT2.