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Email Business Activities Extraction and Annotation

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Date
2018
Notes
Communications in Computer and Information Science book series (CCIS, volume 1040)
Dewey
Informatique générale
Sujet
Email mining; Text mining; Business process; Business activity; Process instance
DOI
http://dx.doi.org/10.1007/978-3-030-30284-9_5
Conference date
2018
Book title
Information Search, Integration, and Personalization 12th International Workshop, ISIP 2018
Author
Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos, Yuzuru Tanaka, Rin-ichiro Taniguchi
Publisher
Springer
ISBN
978-3-030-30283-2
Book URL
10.1007/978-3-030-30284-9
URI
https://basepub.dauphine.fr/handle/123456789/19923
Collections
  • LAMSADE : Publications
Metadata
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Author
Jlailaty, Diana
Grigori, Daniela
Belhajjame, Khalid
Type
Communication / Conférence
Item number of pages
69-86
Abstract (EN)
Emails play, in the personal and particularly in the professional context, a central role in activity management. Emails can be harvested and re-engineered for understanding the undocumented business process activities and their corresponding metadata. Our goal in this paper is to recast emails into business activity centric resources. We describe an approach that is able to discover business process activities from emails. In addition, for each activity type, we extract metadata such as the roles of the people exchanging the email, type of the attached documents, or the domains of the mentioned links. In order to extract activities from emails, we compare several popular non-linear classification techniques. Activities are then clustered according to their types, which allows us to construct the metadata for each activity type. We validate our approach using a public email dataset

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