Welcome to the InfoSci Platform
Reference Hub7
Assigning Ontological Meaning to Workflow Nets

Assigning Ontological Meaning to Workflow Nets

Pnina Soffer, Maya Kaner, Yair Wand
Copyright: © 2010 |Volume: 21 |Issue: 3 |Pages: 35
ISSN: 1063-8016|EISSN: 1533-8010|EISBN13: 9781609609047|DOI: 10.4018/jdm.2010070101
Cite Article Cite Article

MLA

Soffer, Pnina, et al. "Assigning Ontological Meaning to Workflow Nets." JDM vol.21, no.3 2010: pp.1-35. http://doi.org/10.4018/jdm.2010070101

APA

Soffer, P., Kaner, M., & Wand, Y. (2010). Assigning Ontological Meaning to Workflow Nets. Journal of Database Management (JDM), 21(3), 1-35. http://doi.org/10.4018/jdm.2010070101

Chicago

Soffer, Pnina, Maya Kaner, and Yair Wand. "Assigning Ontological Meaning to Workflow Nets," Journal of Database Management (JDM) 21, no.3: 1-35. http://doi.org/10.4018/jdm.2010070101

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

A common way to represent organizational domains is the use of business process models. A Workflow-net (WF-net) is an application of Petri Nets (with additional rules) that model business process behavior. However, the use of WF-nets to model business processes has some shortcomings. In particular, no rules exist beyond the general constraints of WF-nets to guide the mapping of an actual process into a net. Syntactically correct WF-nets may provide meaningful models of how organizations conduct their business processes. Moreover, the processes represented by these nets may not be feasible to execute or reach their business goals when executed. In this paper, the authors propose a set of rules for mapping the domain in which a process operates into a WF-net, which they derived by attaching ontological semantics to WF-nets. The rules guide the construction of WF-nets, which are meaningful in that their nodes and transitions are directly related to the modeled (business) domains. Furthermore, the proposed semantics imposes on the process models constraints that guide the development of valid process models, namely, models that assure that the process can accomplish its goal when executed.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.