Abstract
The size of execution data available for process mining analysis grows several orders of magnitude every couple of years. Extracting and selecting the relevant data to be analyzed on each case represents an open challenge in the field. This paper presents a systematic literature review on different approaches to query process data and establish their provenance. In addition, a new query language is proposed, which overcomes the limitations identified during the review. The proposal is based on a com-bination of data and process perspectives. It provides simple constructs to intuitively formulate questions. An implementation of the language is provided, together with examples of queries to be applied on different aspects of the process analysis.
| Original language | English |
|---|---|
| Title of host publication | Business Process Management Workshops |
| Editors | Marcelo Fantinato, Marlon Dumas |
| Publisher | Springer |
| Pages | 296-309 |
| Number of pages | 14 |
| ISBN (Print) | 9783319584560 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | 14th International Conference on Business Process Management (BPM 2016) - Rio de Janeiro, Brazil Duration: 18 Sept 2016 → 22 Sept 2016 Conference number: 14 http://bpm2016.uniriotec.br/ |
Publication series
| Name | Lecture Notes in Business Information Processing |
|---|---|
| Volume | 281 |
| ISSN (Print) | 1865-1348 |
Conference
| Conference | 14th International Conference on Business Process Management (BPM 2016) |
|---|---|
| Abbreviated title | BPM 2016 |
| Country/Territory | Brazil |
| City | Rio de Janeiro |
| Period | 18/09/16 → 22/09/16 |
| Other | 2016 BPM Demo Track, BPMD 2016, co-located with the 14th International Conference on Business Process Management, BPM 2016 |
| Internet address |
Keywords
- Databases
- Event logs
- Process mining
- Query languages
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