Authors:
Ivan Markovic
and
Florian Hasibether
Affiliation:
SAP Research CEC Karlsruhe, Germany
Keyword(s):
Business process modeling, Business ontologies.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Process Management
;
Data Engineering
;
e-Business
;
Enterprise Engineering
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Modeling Concepts and Information Integration Tools
;
Modeling Formalisms, Languages and Notations
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Symbolic Systems
Abstract:
In process-driven organizations, process models are the basis on which their supporting process-aware information systems are built. In this paper, we propose an approach for integrating perspectives and abstraction levels in business process modeling. First, we propose six process perspectives to adequately organize information about a business process. Second, we present the abstraction levels in process modeling and discuss metamodel projections on each of the levels. Third, we provide a comparison of our approach to other efforts in the field. With our approach, we make a step towards reducing the complexity of process modeling.