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Discovering Cross-Perspective Semantic Definitions from Process Execution Logs

Title data

Schönig, Stefan ; Günther, Christoph ; Zeising, Michael ; Jablonski, Stefan:
Discovering Cross-Perspective Semantic Definitions from Process Execution Logs.
In: Pankowska, Malgorzata (ed.): BUSTECH 2012 : the Second International Conference on Business Intelligence and Technology. - Red Hook, NY : Curran , 2012 . - pp. 1-7
ISBN 9781622762040

Abstract in another language

In this paper, we suggest a two-phase declarative process mining approach discovering explicit, cross-perspective semantics. Cross-perspective semantics are interesting and important for the analysis of business processes, because they reveal dependencies that are not obvious on the first look. They allow for a comprehensive examination of the recorded process execution information and enable the discovery of coherency between different process-involved entities and perspectives. Using the described cross-perspective semantics, we additionally introduce an approach for simplifying less-structured process models.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Process mining; semantic definitions; business rules; ontology, semantic process modelling
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV > Chair Applied Computer Science IV - Univ.-Prof. Dr.-Ing. Stefan Jablonski
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IV
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 07 Dec 2017 10:01
Last Modified: 07 Dec 2017 10:01
URI: https://eref.uni-bayreuth.de/id/eprint/34897