Semantic Annotation for Process Models: - Department of Computer ...

126 CHAPTER 7. EXEMPLAR STUDIES AND APPLICATION SYSTEM
Improve Supplier On Time Delivery Performance); "Issue an export Invoice"
(negatively_satisfies Process Invoice Without Error).
3. PM B2 : "Correct orders" (positively_satisfies Ensure Full Delivery); "Issue
Invoice" (negatively_satisfies Process Invoice Without Error).
7.6 Summary
In this chapter, we have exemplified the semantic annotations— profile annotation,
meta-model annotation, model annotation and goal annotation through two exemplar
studies. A BPMN model and two EEML models have been selected from two different
business organizations in a same business domain about logistics processing. The
representations of two models have shown the diversities of modeling notations, conceptualizations,
terminologies, and business processing ways. GPO as the semantic
mediator for modeling languages, has been mapped to BPMN and EEML in the metamodel
annotation phase. Two models have been transformed into the PSAM models
with Pro-SEAT. The SCOR reference model provides the process templates and standards
of logistics process, and it has been chosen as domain ontology for the model
annotation and the goal annotation. The level 3 process elements with inputs and
outputs from SCOR have been formalized as SCOR domain ontologies in OWL. In
order to facilitate the semantic reference from the PSAM model to the domain ontology,
the SCOR concepts have been organized in Activity, Artifact and Actor-role
categories. The goal ontology has been derived from the process elements, the inputs
and outputs, and the metrics of performance attributes of the SCOR specifications.
The semi-automatic goal annotation has been conducted by Pro-SEAT based on the
goal annotation algorithms.
To illustrate the applicability of the semantic annotation approach, we have outlined
a process knowledge management system integrating the semantic annotation
components. Making use of the Semantic Web technology, the semantic reasoning such
as T-Box and A-Box inference has also been exemplified on the semantic annotation results
for the process knowledge management purpose. In next chapters we will conduct
more systematic evaluation and applicability validation of our method.