Email Business Activities Extraction and Annotation
Jlailaty, Diana; Grigori, Daniela; Belhajjame, Khalid (2018), Email Business Activities Extraction and Annotation, in Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos, Yuzuru Tanaka, Rin-ichiro Taniguchi, Information Search, Integration, and Personalization 12th International Workshop, ISIP 2018, Springer, p. 69-86. 10.1007/978-3-030-30284-9_5
Type
Communication / ConférenceDate
2018Conference date
2018Book title
Information Search, Integration, and Personalization 12th International Workshop, ISIP 2018Book author
Dimitris Kotzinos, Dominique Laurent, Nicolas Spyratos, Yuzuru Tanaka, Rin-ichiro TaniguchiPublisher
Springer
ISBN
978-3-030-30283-2
Pages
69-86
Publication identifier
Metadata
Show full item recordAbstract (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 datasetSubjects / Keywords
Email mining; Text mining; Business process; Business activity; Process instanceRelated items
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