Skip to main content
SpringerLink
Log in

Conceptual Modeling of Processes and Data: Connecting Different Perspectives

  • Conference paper
  • First Online:
Conceptual Modeling (ER 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11157))

Included in the following conference series:

Abstract

Business processes constantly generate, manipulate, and consume data that are managed by organizational databases. Despite being central to process modeling and execution, the link between processes and data is often handled by developers when the process is implemented, thus leaving the connection unexplored during the conceptual design. In this paper, we introduce, formalize, and evaluate a novel conceptual view that bridges the gap between process and data models, and show some kinds of interesting insights that can be derived from this novel proposal.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    A complete description of the experiment can be found at http://hdl.handle.net/11562/976919.

References

  1. Calvanese, D., De Giacomo, G., Montali, M.: Foundations of data-aware process analysis: a database theory perspective. In: 32nd ACM SIGMOD Symposium on Principles of Database Systems (PODS), pp. 1–12. ACM (2013)

    Google Scholar 

  2. Combi, C., Oliboni, B., Weske, M., Zerbato, F.: Conceptual modeling of inter-dependencies between processes and data. In: ACM Symposium on Applied Computing (SAC), pp. 110–119. ACM (2018). https://doi.org/10.1145/3167132.3167141

  3. De Giacomo, G., Oriol, X., Estañol, M., Teniente, E.: Linking data and BPMN processes to achieve executable models. In: Dubois, E., Pohl, K. (eds.) CAiSE 2017. LNCS, vol. 10253, pp. 612–628. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59536-8_38

    Chapter  Google Scholar 

  4. De Masellis, R., Francescomarino, C.D., Ghidini, C., Montali, M., Tessaris, S.: Add data into business process verification: bridging the gap between theory and practice. In: AAAI, pp. 1091–1099. AAAI Press (2017)

    Google Scholar 

  5. Elmasri, R., Navathe, S.B.: Fundamentals of Database Systems. Pearson, Boston (2015)

    MATH  Google Scholar 

  6. Hull, R.: Artifact-centric business process models: brief survey of research results and challenges. In: Meersman, R., Tari, Z. (eds.) OTM 2008. LNCS, vol. 5332, pp. 1152–1163. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-88873-4_17

    Chapter  Google Scholar 

  7. Künzle, V., Reichert, M.: PHILharmonicFlows: towards a framework for object-aware process management. J. Softw. Maintenance Evol. Res. Pract. 23(4), 205–244 (2011)

    Article  Google Scholar 

  8. Lenz, K., Oberweis, A.: Inter-organizational business process management with XML Nets. In: Ehrig, H., Reisig, W., Rozenberg, G., Weber, H. (eds.) Petri Net Technology for Communication-Based Systems. LNCS, vol. 2472, pp. 243–263. Springer, Heidelberg (2003). https://doi.org/10.1007/978-3-540-40022-6_12

    Chapter  Google Scholar 

  9. Maes, A., Poels, G.: Evaluating quality of conceptual models based on user perceptions. In: Embley, D.W., Olivé, A., Ram, S. (eds.) ER 2006. LNCS, vol. 4215, pp. 54–67. Springer, Heidelberg (2006). https://doi.org/10.1007/11901181_6

    Chapter  Google Scholar 

  10. Mehmood, K., Cherfi, S.S.-S.: Evaluating the functionality of conceptual models. In: Heuser, C.A., Pernul, G. (eds.) ER 2009. LNCS, vol. 5833, pp. 222–231. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04947-7_27

    Chapter  Google Scholar 

  11. Meyer, A., Pufahl, L., Fahland, D., Weske, M.: Modeling and enacting complex data dependencies in business processes. In: Daniel, F., Wang, J., Weber, B. (eds.) BPM 2013. LNCS, vol. 8094, pp. 171–186. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-40176-3_14

    Chapter  Google Scholar 

  12. Meyer, A., Weske, M.: Extracting data objects and their states from process models. In: 17th International Enterprise Distributed Object Computing Conference (EDOC), pp. 27–36. IEEE (2013)

    Google Scholar 

  13. Montali, M., Rivkin, A.: DB-Nets: on the marriage of colored petri nets and relational databases. In: Koutny, M., Kleijn, J., Penczek, W. (eds.) Transactions on Petri Nets and Other Models of Concurrency XII. LNCS, vol. 10470, pp. 91–118. Springer, Heidelberg (2017). https://doi.org/10.1007/978-3-662-55862-1_5

    Chapter  Google Scholar 

  14. Object Management Group: Business Process Model and Notation (BPMN), v2.0.2. http://www.omg.org/spec/BPMN/2.0.2/

  15. Object Management Group: Unified Modeling Language, v2.5. http://www.omg.org/spec/UML/2.5/

  16. Reichert, M.: Process and data: two sides of the same coin? In: Meersman, R., et al. (eds.) OTM 2012. LNCS, vol. 7565, pp. 2–19. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33606-5_2

    Chapter  Google Scholar 

  17. Smith, F., Proietti, M.: Reasoning on data-aware business processes with constraint logic. In: 4th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA), pp. 60–75 (2014)

    Google Scholar 

  18. Sun, Y., Su, J., Wu, B., Yang, J.: Modeling data for business processes. In: 30th International Conference on Data Engineering (ICDE), pp. 1048–1059. IEEE (2014)

    Google Scholar 

  19. Wang, W., Indulska, M., Sadiq, S., Weber, B.: Effect of linked rules on business process model understanding. In: Carmona, J., Engels, G., Kumar, A. (eds.) BPM 2017. LNCS, vol. 10445, pp. 200–215. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65000-5_12

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, University of Verona, Verona, Italy

    Carlo Combi, Barbara Oliboni & Francesca Zerbato

  2. Hasso Plattner Institute, University of Potsdam, Potsdam, Germany

    Mathias Weske

Authors
  1. Carlo Combi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Barbara Oliboni
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mathias Weske
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Francesca Zerbato
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Francesca Zerbato .

Editor information

Editors and Affiliations

  1. Lucentia, University of Alicante, Alicante, Spain

    Juan C. Trujillo

  2. Miami University, Oxford, OH, USA

    Karen C. Davis

  3. Renmin University of China, Beijing, China

    Xiaoyong Du

  4. Northwestern Polytechnical University, Xian, China

    Zhanhuai Li

  5. Department of Computer Science, National University of Singapore, Singapore, Singapore

    Tok Wang Ling

  6. Department of Computer Science and Technology, Tsinghua University, Beijing, Beijing, China

    Guoliang Li

  7. National University of Singapore, Singapore, Singapore

    Mong Li Lee

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Combi, C., Oliboni, B., Weske, M., Zerbato, F. (2018). Conceptual Modeling of Processes and Data: Connecting Different Perspectives. In: Trujillo, J., et al. Conceptual Modeling. ER 2018. Lecture Notes in Computer Science(), vol 11157. Springer, Cham. https://doi.org/10.1007/978-3-030-00847-5_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00847-5_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00846-8

  • Online ISBN: 978-3-030-00847-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation