The Ontological Stance for a Manufacturing Scenario

The Ontological Stance for a Manufacturing Scenario

Michael Gruninger (University of Toronto, Canada)
Copyright: © 2009 |Pages: 25
DOI: 10.4018/jcit.2009072101
OnDemand PDF Download:
No Current Special Offers


The semantic integration of software systems can be supported through a shared understanding of the terminology in their respective ontologies. In practice, however, the author is faced with the additional challenge that few applications have an explicitly axiomatized ontology. To address this challenge, we adopt the Ontological Stance, in which we can model a software application as if it were an inference system with an axiomatized ontology, and use this ontology to predict the set of sentences that the inference system determines to be entailed or satisfiable. This chapter gives an overview of a deployment of the Process Specification Language (PSL) Ontology as the interchange ontology for the semantic integration of three manufacturing software applications currently being used in industry -- a process modeller, a process planner, and a scheduler.
Article Preview

Formalization Of Semantic Integration

When software applications communicate with each other, there needs to be some way to ensure that the meaning of what one application accepts as input and output is accurately conveyed to the other application. Since the applications may not use the same terms to mean the same concepts, we need a way for an application to discover what another application means when it communicates. In order for this to happen, every application needs to publicly declare exactly what terms it is using and what these terms mean; this specification is commonly referred to as the application’s ontology. Moreover, this specification must be accessible to other software applications. Thus, we require that the meaning be encoded in a formal language, which enables a given application to use automated reasoning to accurately determine the meaning of other applications’ terms. For example, if application 1 sends a message to application 2, then along with this message is a pointer to application 1’s ontology. Application 2 can look in application 1's ontology to see what the terms mean, the message is successfully communicated and the application’s task is successfully performed. Complete understanding will occur between the applications only if they share the semantics of all the terminology used in the content of the messages that they exchange or the information sources that they access.

Complete Article List

Search this Journal:
Volume 24: 4 Issues (2022): Forthcoming, Available for Pre-Order
Volume 23: 4 Issues (2021): 2 Released, 2 Forthcoming
Volume 22: 4 Issues (2020)
Volume 21: 4 Issues (2019)
Volume 20: 4 Issues (2018)
Volume 19: 4 Issues (2017)
Volume 18: 4 Issues (2016)
Volume 17: 4 Issues (2015)
Volume 16: 4 Issues (2014)
Volume 15: 4 Issues (2013)
Volume 14: 4 Issues (2012)
Volume 13: 4 Issues (2011)
Volume 12: 4 Issues (2010)
Volume 11: 4 Issues (2009)
Volume 10: 4 Issues (2008)
Volume 9: 4 Issues (2007)
Volume 8: 4 Issues (2006)
Volume 7: 4 Issues (2005)
Volume 6: 1 Issue (2004)
Volume 5: 1 Issue (2003)
Volume 4: 1 Issue (2002)
Volume 3: 1 Issue (2001)
Volume 2: 1 Issue (2000)
Volume 1: 1 Issue (1999)
View Complete Journal Contents Listing