Quotation Baier, Thomas, Di Ciccio, Claudio, Mendling, Jan, Weske, Mathias. 2018. Matching events and activities by integrating behavioral aspects and label analysis. Software & Systems Modeling (Springer), 17 (2), 573-598.




Nowadays, business processes are increasingly supported by IT services that produce massive amounts of event data during the execution of a process. These event data can be used to analyze the process using process mining techniques to discover the real process, measure conformance to a given process model, or to enhance existing models with performance information. Mapping the produced events to activities of a given process model is essential for conformance checking, annotation and understanding of process mining results. In order to accomplish this mapping with low manual effort, we developed a semi-automatic approach that maps events to activities using insights from behavioral analysis and label analysis. The approach extracts Declare constraints from both the log and the model to build matching constraints to efficiently reduce the number of possible mappings. These mappings are further reduced using techniques from natural language processing, which allow for a matching based on labels and external knowledge sources. The evaluation with synthetic and real-life data demonstrates the effectiveness of the approach and its robustness toward non-conforming execution logs.


Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Software & Systems Modeling
Citation Index SCI
Language English
Title Matching events and activities by integrating behavioral aspects and label analysis
Volume 17
Number 2
Year 2018
Page from 573
Page to 598
Reviewed? Y
URL http://rdcu.be/s41n
DOI http://dx.doi.org/10.1007/s10270-017-0603-z
Open Access Y


Di Ciccio, Claudio (Former researcher)
Mendling, Jan (Details)
Baier, Thomas (Lana Labs GmbH, Germany)
Weske, Mathias (Hasso Plattner Institute, University of Potsdam, Germany)
Institute for Data, Process and Knowledge Management (AE Sabou) (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1105 Computer software (Details)
1108 Informatics (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
1161 Human-computer interaction (Details)
5306 Business data processing (Details)
5367 Management information systems (Details)
Google Scholar: Search