Skip to main content

A Methodology and Implementing Tool for Semantic Business Process Annotation

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 248))

Abstract

The task of accurately model Business Process is steadily growing in complicatedness, partially due to the ever changing and dynamic contexts such processes are defined into, and the complexity of domain-specific concepts characterizing today’s global economic environment. Even though the modern IT provides several tools to help the Business Process modellers, they often do not offer sufficient support to the definition and interpretation of domain concepts or relationships, due to a general lack of precise domain knowledge and ambiguities in the terms used to define such concepts. Such semantic ambiguity negatively affects the efficiency and quality of Business Process modelling. To address these issues, an ontology based approach is proposed to mitigate semantic ambiguity, and a means to capture rich, semantic information on complex Business Processes through domain specific ontologies is presented. Also, a prototype tool which allows users to annotate existing BPMN models is described.

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

Buying options

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

Learn about institutional subscriptions

References

  1. SUPER - Semantics Utilized for Process management within and between EnteRprises. http://projects.kmi.open.ac.uk/super/

  2. Di Francescomarino, C., Tonella, P.: Supporting ontology-based semantic annotation of business processes with automated suggestions. Int. J. Inf. Syst. Model. Des. (IJISMD) 1(2), 59–84 (2010)

    Article  Google Scholar 

  3. Di Martino, B., Esposito, A., Nacchia, S., Maisto, S.A.: Semantic annotation of bpmn: current approaches and new methodologies. In: Proceedings of the 17th International Conference on Information Integration and Web-Based Applications & Services (iiWAS2015), pp. 95–99. ACM (2015)

    Google Scholar 

  4. Fill, H.-G.: Semfis: a tool for managing semantic conceptual models (2012)

    Google Scholar 

  5. Lara, R., Roman, D., Polleres, A., Fensel, D.: A conceptual comparison of WSMO and OWL-S. In: Zhang, L.-J., Jeckle, M. (eds.) ECOWS 2004. LNCS, vol. 3250, pp. 254–269. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  6. Lin, Y.: Semantic annotation for process models: facilitating process knowledge management via semantic interoperability (2008)

    Google Scholar 

  7. Lin, Y., Ding, H.: Ontology-based semantic annotation for semantic interoperability of process models. In: International Conference on Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, vol. 1, pp. 162–167. IEEE (2005)

    Google Scholar 

  8. Martin, D., Burstein, M., Hobbs, J., Lassila, O., McDermott, D., McIlraith, S., Narayanan, S., Paolucci, M., Parsia, B., Payne, T., et al.: Owl-s: semantic markup for web services, W3C Member submission 22, 2004–2007 (2004)

    Google Scholar 

  9. McGuinness, D.L., Van Harmelen, F., et al.: Owl web ontology language overview, W3C Member submission 10 (2004)

    Google Scholar 

  10. Roman, D., Keller, U., Lausen, H., de Bruijn, J., Lara, R., Stollberg, M., Polleres, A., Feier, C., Bussler, C., Fensel, D., et al.: Web service modeling ontology. Appl. Ontology 1(1), 77–106 (2005)

    Google Scholar 

  11. Rospocher, M., Ghidini, C., Serafini, L.: An ontology for the business process modelling notation. In: Formal Ontology in Information Systems: Proceedings of the Eighth International Conference (FOIS 2014), vol. 267, p. 133. IOS Press (2014)

    Google Scholar 

  12. van Der Aalst, W.M., Ter Hofstede, A.H., Kiepuszewski, B., Barros, A.P.: Workflow patterns. Distrib. Parallel Databases 14(1), 5–51 (2003)

    Article  Google Scholar 

  13. Wetzstein, B., Ma, Z., Filipowska, A., Kaczmarek, M., Bhiri, S., Losada, S., Lopez-Cob, J.-M., Cicurel, L.: Semantic business process management: a lifecycle based requirements analysis. In: SBPM (2007)

    Google Scholar 

Download references

Acknowledgements

This research has been supported by the European Community’s Seventh Framework Programme (FP7/2007-2013) under grant agreement n 256910 (mOSAIC Project), by PRIST 2009, “Fruizione assistita e context aware di siti archeologici complessi mediante dispositivi mobili” and CoSSMic (Collaborating Smart Solar-powered Micro-grids - FP7-SMARTCITIES-2013).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Antonio Esposito .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Di Martino, B., Esposito, A., Maisto, S.A., Nacchia, S. (2016). A Methodology and Implementing Tool for Semantic Business Process Annotation. In: Schmidt, R., Guédria, W., Bider, I., Guerreiro, S. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2016 2016. Lecture Notes in Business Information Processing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-39429-9_6

Download citation

Publish with us

Policies and ethics