Abstract
Contemporary organisational processes evolve with people’s skills and changing business environments. For instance, process documents vary with respect to their structure and occurrence in the process. Supporting users in such settings requires sophisticated learning mechanisms using a range of inputs overlooked by current dynamic process systems. We argue that analysing a document’s semantics is of uttermost importance to identify the most appropriate activity which should be carried out next. For a system to reliably recommend the next steps suitable for its user, it should consider both the process structure and the involved documents’ semantics. Here we propose a self-learning mechanism which dynamically aggregates a process-based document prediction with a semantic analysis of documents. We present a set of experiments testing the prediction accuracy of the approaches individually then compare them with the aggregated mechanism showing a better accuracy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Adams, M., Edmond, D., ter Hofstede, A.H.M.: The application of activity theory to dynamic workflow adaptation issues. In: 7th Pacific Asia Conference on Information Systems. pp. 1836–1852 (2003)
Adams, M., Hofstede, A., Edmond, D., van der Aalst, W.: Facilitating flexibility and dynamic exception handling in workflows through worklets. In: Proceedings of the CAiSE 2005 Forum, FEUP. pp. 45–50 (2005)
Berry, M.W., Drmac, Z., Jessup, E.R.: Matrices, vector spaces, and information retrieval. Society for Industrial and Applied Mathematics Review 41(2) (1999)
Dorn, C., Burkhart, T., Werth, D., Dustdar, S.: Self-adjusting recommendations for people-driven ad-hoc processes. In: Proceedings of International Conference on Business Process Modelling. Springer, Heidelberg (September 2010)
Dorn, C., Dustdar, S.: Supporting dynamic, people-driven processes through self-learning of message flows. In: Mouratidis, H., Rolland, C. (eds.) CAiSE 2011. LNCS, vol. 6741, pp. 657–671. Springer, Heidelberg (2011)
Han, E.H., Karypis, G.: Centroid-based document classification: Analysis and experimental results. In: Zighed, D., Komorowski, J., Zytkow, J. (eds.) PKDD 2000. LNCS (LNAI), vol. 1910, pp. 424–431. Springer, Heidelberg (2000)
Joseph, D., Marín, C.A.: A study on aligning documents using the circle of interest technique. In: 5th International Conference on Software and Data Technologies, pp. 374–383. SciTe Press (2010)
Künzle, V., Reichert, M.: Philharmonicflows: towards a framework for object-aware process management. Journal of Software Maintenance and Evolution: Research and Practice 23(4), 205–244 (2011), http://dx.doi.org/10.1002/smr.524
Kuo, J.Y.: A document-driven agent-based approach for business processes management. Information and Software Technology 46(6), 373–382 (2004)
Laclavík, M., Dlugolinký, S., Šeleng, M., Kvassay, M., Hluchý, L.: Email analysis and information extraction for enterprise benefit. Computing and Informatics 30(1) (2011)
Lakshmanan, G.T., Duan, S., Keyser, P.T., Khalaf, R., Curbera, F.: A heuristic approach for making predictions for semi- structured case oriented business processes. In: First Workshop on Traceability and Compliance of Semi-structured Processes @BPM 2010. Springer, Heidelberg (2010)
Marín, C.A., Carpenter, M., Wajid, U., Mehandjiev, N.: Devolved ontology in practice for a seamless semantic alignment within dynamic collaboration networks of smes. Computing and Informatics 30(1) (2011)
OASIS: ebXML technical architecture specification. Tech. rep., ebXML (2001)
Reichert, M., Rinderle, S., Dadam, P.: Adept workflow management system: flexible support for enterprise-wide business processes. In: van der Aalst, W.M.P., ter Hofstede, A.H.M., Weske, M. (eds.) BPM 2003. LNCS, vol. 2678, pp. 370–379. Springer, Heidelberg (2003)
Reijers, H., Rigter, J., Aalst, W.V.D.: The case handling case. International Journal of Cooperative Information Systems 12, 365–391 (2003)
Scerri, S., Davis, B., Handschuh, S.: Improving Email Conversation Efficiency through Semantically Enhanced Email. In: Proceedings of the 18th International Conference on Database and Expert Systems Applications, pp. 490–494. IEEE Computer Society, Washington (2007)
Scerri, S., Davis, B., Handschuh, S.: Semanta Supporting E-mail Workflows in Business Processes. In: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, pp. 483–484. IEEE Computer Society, Los Alamitos (2009)
Schonenberg, H., Weber, B., Dongen, B., van der Aalst, W.: Supporting flexible processes through recommendations based on history. In: Dumas, M., Reichert, M., Shan, M.-C. (eds.) BPM 2008. LNCS, vol. 5240, pp. 51–66. Springer, Heidelberg (2008)
Stoitsev, T., Scheidl, S., Spahn, M.: A framework for light-weight composition and management of ad-hoc business processes. In: Winckler, M., Johnson, H. (eds.) TAMODIA 2007. LNCS, vol. 4849, pp. 213–226. Springer, Heidelberg (2007)
UN/CEFACT: Core components technical specification – part 8 of the ebXML framework. Tech. rep., UN/CEFACT (2003)
Vanderfeesten, I.T.P., Reijers, H.A., van der Aalst, W.M.P.: Product based workflow support: Dynamic workflow execution. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 571–574. Springer, Heidelberg (2008)
Wang, J., Kumar, A.: A framework for document-driven workflow systems. In: van der Aalst, W.M.P., Benatallah, B., Casati, F., Curbera, F. (eds.) BPM 2005. LNCS, vol. 3649, pp. 285–301. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Dorn, C., Marín, C.A., Mehandjiev, N., Dustdar, S. (2011). Self-learning Predictor Aggregation for the Evolution of People-Driven Ad-Hoc Processes. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds) Business Process Management. BPM 2011. Lecture Notes in Computer Science, vol 6896. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23059-2_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-23059-2_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23058-5
Online ISBN: 978-3-642-23059-2
eBook Packages: Computer ScienceComputer Science (R0)