Skip to main content

Designing Business Processes with a Recommendation-Based Editor

  • Chapter
  • First Online:
Handbook on Business Process Management 1

Part of the book series: International Handbooks on Information Systems ((INFOSYS))

Abstract

Knowledge of modeling language syntax is usually not sufficient for building “good” process models. Profound modeling experience is required to apply a modeling language in practice. The productivity of users without any modeling experience is low and thus the quality of the modeling result may be unsatisfying if respective modeling tool support is missing. In this chapter, we present a recommendation-based editor for process modeling, which can help overcome this problem by reducing the need for the user to study the modeling notation and consequently direct her to focus on the model content. Early evaluations indicate the effectiveness of our approach, which goes beyond conventional modeling support for business processes.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.00
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.

    http://lucene.apache.org/java/docs/queryparsersyntax.html

  2. 2.

    http://wordnet.princeton.edu/

  3. 3.

    In the following, we regard keywords as tags.

References

  • Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng 17(6):734–749

    Article  Google Scholar 

  • Baeza-Yates R, Ribeiro-Neto B (1999) Modern information retrieval. Addison-Wesley, Boston MA

    Google Scholar 

  • Balabanovic M (1997) An adaptive web page recommendation service. In: Proceedings of the 1st international conference on autonomous agents, Marina del Rey, California, Feb 1997

    Google Scholar 

  • Basu C, Hirsh H, Cohen W (1998) Recommendation as classification: using social and content-based information in recommendation. In: Proceedings of the fifteenth national/tenth conference on artificial intelligence/innovative applications of artificial intelligence, Madison, Wisconsin, United States, American association for artificial intelligence, Menlo Park, CA, pp 714–720

    Google Scholar 

  • Becker J, Rosemann M, Uthmann CV (2000) Guidelines of business process modeling. In: Proceedings business process management, models, techniques, and empirical studies, lecture notes in computer science. vol 1806, Springer, London, pp 30–49

    Google Scholar 

  • Breu H, Gil J, Kirkpatrick D, Werman M (1995) Linear time euclidean distance algorithms. IEEE Trans Pattern Anal Mach Intell 17(5):529–533

    Article  Google Scholar 

  • Brooks CH, Montanez N (2006) Improved annotation of the blogoshere via auto-tagging and hierarchical clustering. In: Proceedings of the 15th world wide web conference, Edinburgh, Scotland, ACM Press, pp 625–632

    Google Scholar 

  • Burke R (2002) Hybrid recommender systems: survey and experiments. User Model User-Adapt Interact 12(4):331–370

    Article  Google Scholar 

  • Claypool M, Gokhale A, Miranda T, Murnikov P, Netes D, Sartin M (1999) Combining content-based and collaborative filters in an online newspaper. In: Proceedings ACM SIGIR ’99 workshop recommender systems: algorithms and evaluation, ACM Press, Aug 1999

    Google Scholar 

  • Davies I, Reeves M (2010) BPM tool selection. The case of the Queensland Court of Justice. In: vom Brocke J, Rosemann M (eds) Handbook on business process management, vol 1. Springer, Heidelberg

    Google Scholar 

  • Herlocker JL, Konstan JA, Terveen LG, Riedl JT (2004) Evaluating collaborative filtering recommender systems. ACM Trans Inform Syst 22(1):5–53

    Article  Google Scholar 

  • Heymann P, Koutrika G, Garcia-Molina H (2008) Can social bookmarking improve web search? In: Proceedings of the international conference on web search and web data mining, ACM Press, New York, USA, pp 195–206

    Google Scholar 

  • Hornung T, Koschmider A, Lausen G (2008) Recommendation based process modeling support: method and user experience. In: Proceeding of the 27th international conference on conceptual modeling, Barcelona, Spain, Lecture notes in computer science. vol 5231. Springer, Berlin, pp 265–278

    Google Scholar 

  • Klink S (2004) Improving document transformation techniques with collaborative learned term-based concepts. In: Proceedings reading and learning, adaptive content recognition, lecture notes in computer science. vol 2956. Springer, pp 281–305

    Google Scholar 

  • Koschmider A, Habryn F, Gottschalk F (2008) Real support for perspective-compliant business process design. In: BPM 2008 Workshops, Sept 2008, vol 17 of LNBIB. Springer, Milan, Italy, pp 30–41

    Google Scholar 

  • Koschmider A, Song M, Reijers H (2008) Social software for modeling business processes. In: BPM 2008 workshops, Milan, Italy, Sept 2008, vol 17 of LNBIB. Springer, pp 642–653

    Google Scholar 

  • Massa P, Bhattacharjee B (2004) Using trust in recommender systems: an experimental analysis. In: Proceedings of the second international conference iTrust, Oxford, 2004, pp 221–235

    Google Scholar 

  • Oberweis A, Sander P (1996) Information system behavior specification by high level Petri nets. ACM Trans Inf Syst 14(4):380–420

    Article  Google Scholar 

  • Pyzdek T (2003) The six sigma handbook: a complete guide for green belts, black belts, and managers at all levels. McGraw-Hill, New York

    Google Scholar 

  • Reijers HA et al. (2010) Business process quality management. In: vom Brocke J, Rosemann M (eds) Handbook on business process management, vol 1. Springer, Heidelberg

    Google Scholar 

  • Salton G, Wong A, Yang CS (1975) A vector space model for automatic indexing. Commun ACM 18(11):613–620

    Article  Google Scholar 

  • Shen M, Liu DR (2004) Discovering role-relevant process-views for disseminating process knowledge. Expert Syst Appl 26:301–310

    Article  Google Scholar 

  • van der Aalst WM (1998) The application of Petri nets to workflow management. J Circ Syst Comput 1(8):21–66

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Agnes Koschmider .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Koschmider, A., Oberweis, A. (2010). Designing Business Processes with a Recommendation-Based Editor. In: Brocke, J.v., Rosemann, M. (eds) Handbook on Business Process Management 1. International Handbooks on Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00416-2_14

Download citation

Publish with us

Policies and ethics