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Ontological Description and Similarity-Based Discovery of Business Process Models

Author

Listed:
  • Khalid Belhajjame

    (University of Manchester, UK)

  • Marco Brambilla

    (Politecnico di Milano, Italy)

Abstract

Project repositories are a central asset in software development, as they preserve the knowledge gathered in past development activities. Locating relevant information in a vast project repository is problematic, because it requires manually tagging projects with accurate metadata, an activity which is time consuming and prone to errors and omissions. Just like any other artifact or web service, business processes can be stored in repositories to be shared and used by third parties, e.g., as building blocks for constructing new business processes. The success of such a paradigm depends partly on the availability of effective search tools to locate business processes that are relevant to the user purposes. A handful of researchers have investigated the problem of business process discovery using as input syntactical and structural information that describes business processes. This work explores an additional source of information encoded in the form of annotations that semantically describe business processes. Business processes can be semantically described using the so called abstract business processes. These are designated by concepts from an ontology which additionally captures their relationships. This ontology can be built in an automatic fashion from a collection of (concrete) business processes, and this work illustrates how it can be refined by domain experts and used in the discovery of business processes, with the purpose of reuse and increase in design productivity.

Suggested Citation

  • Khalid Belhajjame & Marco Brambilla, 2011. "Ontological Description and Similarity-Based Discovery of Business Process Models," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 2(2), pages 47-66, April.
  • Handle: RePEc:igg:jismd0:v:2:y:2011:i:2:p:47-66
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