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Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches

Abstract

Engineering of knowledge-intensive processes (KiPs) is far from being mastered, since they are genuinely knowledge- and data-centric, and require substantial flexibility, at both design- and run-time. In this work, starting from a scientific literature analysis in the area of KiPs and from three real-world domains and application scenarios, we provide a precise characterization of KiPs. Furthermore, we devise some general requirements related to KiPs management and execution. Such requirements contribute to the definition of an evaluation framework to assess current system support for KiPs. To this end, we present a critical analysis on a number of existing process-oriented approaches by discussing their efficacy against the requirements.

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Notes

  1. 1.

    See http://www.omg.org/spec/BPMN/.

  2. 2.

    When applicable, we specify the evaluated version.

  3. 3.

    http://www.yawlfoundation.org/.

  4. 4.

    http://www.uni-ulm.de/en/in/dbis/research/projects/completed-projects/adept2.html.

  5. 5.

    http://www.dis.uniroma1.it/~smartpm.

  6. 6.

    http://www.win.tue.nl/declare/.

  7. 7.

    http://www.promtools.org/prom6/.

  8. 8.

    http://cpntools.org/start.

  9. 9.

    http://www.uni-ulm.de/en/in/dbis/research/projects/philharmonic-flows.html.

  10. 10.

    http://sourceforge.net/projects/bizartifact/.

  11. 11.

    http://www.omg.org/spec/CMMN/.

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Acknowledgments

This work has been partly supported by Sapienza through the grants TESTMED, SUPER, “Premio Ricercatori Under-40” and “Assegni di Ricerca 2012”. The work of Claudio Di Ciccio has been partly performed when research fellow with InfoSapienza center. With Wirtschaftsuniversität Wien, his research has received funding from the EU Seventh Framework Programme (FP7) under grant agreement 318275 (GET Service).

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Correspondence to Andrea Marrella.

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Di Ciccio, C., Marrella, A. & Russo, A. Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches. J Data Semant 4, 29–57 (2015). https://doi.org/10.1007/s13740-014-0038-4

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Keywords

  • Knowledge-intensive processes
  • Process management systems
  • Case management
  • Process flexibility
  • Process mining