Quotation Di Ciccio, Claudio, Mecella, Massimo. 2013. Mining Artful Processes from Knowledge Workers' Emails. IEEE Internet Computing 17 (5): S. 10-20.


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Abstract

In this paper we present MailOfMine, an approach and a software tool aimed at automatically building a set of workflow models, which represent the artful processes laying behind the knowledge workers' activities, on top of a collection of email messages. The advantages are numerous: the unspecified agile processes that are autonomously used become formalized. Since such models are not defined a priori by experts but rather inferred from real-life scenarios that actually took place, they are guaranteed to respect the true executions (often Business Process Management tools are used to show the discrepancy between the supposed and the concrete workflows). Moreover, such models can be shared, compared, preserved, so that the best practices might be put in evidence from the community of knowledge workers, to the whole business benefit. Finally, an analysis over such processes can be done, so that bottlenecks and delays in actual executions can be found out. In MailOfMine, workflow models are described according to a declarative approach, with a specific visual notation. After presenting the architecture of the system, this paper reports some performance tests and the results of the application of the tool on a real case study.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal IEEE Internet Computing
Citation Index SCI
WU-Journal-Rating new INF-A
Language English
Title Mining Artful Processes from Knowledge Workers' Emails
Volume 17
Number 5
Year 2013
Page from 10
Page to 20
Reviewed? Y
URL http://doi.ieeecomputersociety.org/10.1109/MIC.2013.60
DOI http://dx.doi.org/10.1109/MIC.201

Associations

People
Di Ciccio, Claudio (Former researcher)
External
Mecella, Massimo (Sapienza, University of Rome, Italy)
Organization
Applied Information Technology with Focus on IT in Organization (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1108 Informatics (Details)
1109 Information and data processing (Details)
1127 Information science (Details)
5306 Business data processing (Details)
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