Semantic Adaptation of Business Information Systems using Human-Centered Business Rule Engines

摘要

There is a strong need for customizing business information systems, such as ERP or CRM solutions. This paper focuses on emerging decisions and on business rules to support the decision making. The proposed business rules can be edited by end users as well as system components. Both - the users and the system - shall be able to learn business rules as well as integrate, and use them intelligently in the business information system. In order to address this concern, human-centered business rule engines are proposed, which integrate data mining support and provide intelligent user interfaces to collaborating users. An underlying ontology is used to specify the vocabulary for the business rules dependent on the business information system. We apply a mapping approach to map the concepts and relationships of the underlying ontology to user-oriented semantic types. Three usage scenarios give some examples of how the presented approach can be used.