Business Rules and Information Systems: Aligning It with Business Goals
Business Rules and Information Systems: Aligning It with Business Goals
Business Rules Applied: Building Better Systems Using the Business Rules Approach
Business Rules Applied: Building Better Systems Using the Business Rules Approach
KAON - Towards a Large Scale Semantic Web
EC-WEB '02 Proceedings of the Third International Conference on E-Commerce and Web Technologies
Event Handling for the Universal Enterprise
Information Technology and Management
Requirements Analysis: From Business Views to Architecture
Requirements Analysis: From Business Views to Architecture
Intelligent binding in the engineering of automation systems using ontology and Web services
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An algorithm for the automatic transformation of ontology axioms into a rule model
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Formal transformation of ontology axioms to application domain rules
CompSysTech '08 Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
Ontology-based data integration and decision support for product e-Design
Robotics and Computer-Integrated Manufacturing
Evaluating the method of the transforming ontology axioms to application domain rules
CompSysTech '09 Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
Improving geodatabase semantic querying exploiting
GeoS'11 Proceedings of the 4th international conference on GeoSpatial semantics
A multi-agent-based decision support system for bankruptcy contagion effects
Expert Systems with Applications: An International Journal
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The business rule approach is used in information systems to represent domain knowledge and to maintain rules systems efficiently in volatile business environment. A number of methods were proposed to develop rule models, but only few deal with reuse of knowledge acquired in the analysis of some particular domain and automatic implementation of rules. In this paper, a method for representing knowledge by ontology transformation into the rule model is described. The method is based on ontology transformation of axioms presented in a formal way into (semi-) formal information processing rules in the form of executable rules, like active DBMS triggers. The method is implemented into the developed prototype, which is described in the case study section.