Skip to Main content Skip to Navigation
Conference papers

Towards Semantic Process Mining Through Knowledge-Based Trace Abstraction

Abstract : Many information systems nowadays record data about the process instances executed at the organization in the form of traces in a log. In this paper we present a framework able to convert actions found in the traces into higher level concepts, on the basis of domain knowledge. Abstracted traces are then provided as an input to semantic process mining.The approach has been tested in the medical domain of stroke care, where we show how the abstraction mechanism allows the user to mine process models that are easier to interpret, since unnecessary details are hidden, but key behaviors are clearly visible.
Document type :
Conference papers
Complete list of metadata

Cited literature [38 references]  Display  Hide  Download
Contributor : Hal Ifip <>
Submitted on : Thursday, March 7, 2019 - 3:28:25 PM
Last modification on : Thursday, May 2, 2019 - 2:30:10 PM
Long-term archiving on: : Sunday, June 9, 2019 - 10:15:17 AM


 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-01-01

Please log in to resquest access to the document


Distributed under a Creative Commons Attribution 4.0 International License



G. Leonardi, M. Striani, S. Quaglini, A. Cavallini, S. Montani. Towards Semantic Process Mining Through Knowledge-Based Trace Abstraction. 7th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA), Dec 2017, Neuchatel, Switzerland. pp.45-64, ⟨10.1007/978-3-030-11638-5_3⟩. ⟨hal-02060703⟩



Record views