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The Process Specification Language (PSL) is a set of "logic terms used to describe "processes. The logic terms are "specified in an "ontology that provides a "formal description of the components and their relationships that make up a process. The ontology was developed at the National Institute of Standards and Technology ("NIST), and has been approved as an international standard in the document "ISO 18629.

The Process Specification Language can be used for the representation of "manufacturing, "engineering and "business processes, including production scheduling, process planning, "workflow management, "business process reengineering, simulation, process realization, process modelling, and "project management. In the manufacturing domain, PSL’s objective is to serve as a common representation for integrating several process-related applications throughout the manufacturing process "life cycle.[1]


The foundation of the ontology is a set of primitive "concepts (object, activity, activity_occurrence, timepoint), constants (inf+, inf-), functions (beginof, endof), and "relations (occurrence_of, participates_in, between, before, exists_at, is_occurring_at). This core ontology is then used to describe more complex concepts.[2] The ontology uses the "Common Logic Interchange Format (CLIF) to represent the concepts, constants, functions, and relations.[3]

This ontology provides a vocabulary of classes and relations for concepts at the ground level of event-instances, object-instances, and timepoints. PSL’s top level is built around the following:[4]

See also[edit]


  1. ^ "Rationale". "National Institute of Standards and Technology (NIST). 5/10/2003, last updated 1/15/2007.  Check date values in: |date= ("help)
  2. ^ "PSL Core". "National Institute of Standards and Technology (NIST). April 2008. 
  3. ^ "PSL Ontology -- Current Theories and Extensions". "National Institute of Standards and Technology (NIST). 2003-05-10, last updated 2007-01-15.  Check date values in: |date= ("help)
  4. ^ Gangemi, A., Borgo, S., Catenacci, C., and Lehman, J. (2005). "Task taxonomies for knowledge content (deliverable D07)" (PDF). Laboratory for Applied Ontology (LOA). 
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