Providing explanations for the intelligent monitoring of business workflows using case-based reasoning

KAPETANAKIS, STYLIANOS, PETRIDIS, MILTIADIS, Ma, Jixin and Bacon, Liz (2010) Providing explanations for the intelligent monitoring of business workflows using case-based reasoning In: Proceedings of the Fifth International Workshop on Explanation-aware Computing, ExaCt 2010, Lisbon, Portugal, 16 August, 2010.

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Official URL: http://ceur-ws.org/Vol-650/0025.pdf

Abstract

This paper presents an approach for providing explanation to the intelligent diagnosis and monitoring of business workflows based on operation data in the form of temporal log date. The representation of workflow related case knowledge in this research using graphs is explained. Workflow cases are represented in terms of events and their corresponding temporal relationships. The matching and CBR retrieval mechanisms used in this research are explained and the architecture of an integrated intelligent monitoring system is shown. The paper contains an illustration and evaluation of the approach based on experiments on real data from a university quality assurance exam moderation system. It is shown that a graph matching based similarity measure is capable to diagnose problems within business workflows and the results of this reasoning process can be explained to workflow managers and users with the use of graph visualisation techniques.

Item Type:Contribution to conference proceedings in the public domain ( Full Paper)
Additional Information:© 2010 for the individual papers by the papers' authors
Uncontrolled Keywords:Case-Based Reasoning; Explanation; Business Workflows; Temporal Reasoning; Graph Similarity
Subjects:G000 Computing and Mathematical Sciences > G400 Computing
Faculties:Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Computational Intelligence
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ID Code:9722
Deposited By:Converis
Deposited On:18 Jan 2012 13:39
Last Modified:03 May 2013 11:52

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