Chishti, Irfan, Ma, Jixin and Knight, Brian (2014) Ontology mapping of business process modeling based on formal temporal logic. International Journal of Advanced Computer Science and Applications, 5 (7):15. pp. 95-104. ISSN 2158-107X (Print), 2156-5570 (Online) (doi:10.14569/IJACSA.2014.050715)

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Abstract

A business process is the combination of a set of activities with logical order and dependence, whose objective is to produce a desired goal. Business process modeling (BPM) using knowledge of the available process modeling techniques enable a common understanding and analysis of a business process. Industry and academics use informal and formal methods respectively to represent business processes (BP), having the main objective to support an organization. Despite both are aiming at BPM but the methods used are quite different in their semantics. While carrying out literature research, it has been found that there is no general representation of business process modeling is available that is expressive than the commercial modeling tools and techniques. Therefore, it is primarily conceived to provide an ontology mapping of modeling terms of Business Process Modeling Notation (BPMN), Unified Modeling Language (UML) Activity Diagrams (AD) and Event Driven Process Chains (EPC) to temporal logic. Being a formal system, first order logic assists in thorough understanding of process modeling and its application. However, our contribution is to devise a versatile conceptual categorization of modeling terms/constructs and also formalizing them, based on well accepted business notions, such as action, event, process, sub-process, connector and flow. It is demonstrated that the new categorization of modeling terms mapped to formal temporal logic, provides the expressive power to subsume business process modeling techniques i.e. BPMN, UML AD and EPC.

Item Type:	Article
Uncontrolled Keywords:	Business Process Modeling techniques, Ontology, Ontology mapping, Temporal Logic, Semantics
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:07
URI:	http://gala.gre.ac.uk/id/eprint/16885

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