{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T19:40:37Z","timestamp":1783712437267,"version":"3.55.0"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031278143","type":"print"},{"value":"9783031278150","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,3,26]],"date-time":"2023-03-26T00:00:00Z","timestamp":1679788800000},"content-version":"vor","delay-in-days":84,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Data and process mining techniques can be applied in many areas to gain valuable insights. For many reasons, accessibility to real-world business and medical data is severely limited. However, research, but especially the development of new methods, depends on a sufficient basis of realistic data. Due to the lack of data, this progress is hindered. This applies in particular to domains that use personal data, such as healthcare. With adequate quality, synthetic data can be a solution to this problem. In the procedural field, some approaches have already been presented that generate synthetic data based on a process model. However, only a few have included the data perspective so far. Data semantics, which is crucial for the quality of the generated data, has not yet been considered. Therefore, in this paper we present the multi-perspective event log generation approach SAMPLE that considers the data perspective and, in particular, its semantics. The evaluation of the approach is based on a process model for the treatment of malignant melanoma. As a result, we were able to integrate the semantic of data into the log generation process and identify new challenges.<\/jats:p>","DOI":"10.1007\/978-3-031-27815-0_24","type":"book-chapter","created":{"date-parts":[[2023,3,25]],"date-time":"2023-03-25T10:03:04Z","timestamp":1679738584000},"page":"328-340","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["SAMPLE: A Semantic Approach for\u00a0Multi-perspective Event Log Generation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7538-1248","authenticated-orcid":false,"given":"Joscha","family":"Gr\u00fcger","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3072-1709","authenticated-orcid":false,"given":"Tobias","family":"Geyer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4841-3512","authenticated-orcid":false,"given":"David","family":"Jilg","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5515-7158","authenticated-orcid":false,"given":"Ralph","family":"Bergmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,3,26]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"vanden Broucke, S., Vanthienen, J., Baesens, B.: Straightforward petri net-based event log generation in prom. SSRN Electron. J. (2014)","DOI":"10.2139\/ssrn.2489051"},{"key":"24_CR2","unstructured":"Burattin, A.: PLG2: multiperspective processes randomization and simulation for online and offline settings. arXiv abs\/1506.08415 (2015)"},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"van Dongen, B.F., de Medeiros, A.K.A., Verbeek, H.M.W., Weijters, A.J.M.M., van der Aalst, W.M.P.: The prom framework: a new era in process mining tool support. In: Applications and Theory of Petri Nets 2005, pp. 444\u2013454 (2005)","DOI":"10.1007\/11494744_25"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Esgin, E., Karagoz, P.: Process profiling based synthetic event log generation. In: International Conference on Knowledge Discovery and Information Retrieval, pp. 516\u2013524 (2019)","DOI":"10.5220\/0008363805160524"},{"key":"24_CR5","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1007\/978-3-030-98581-3_22","volume-title":"Process Mining Workshops","author":"J Gr\u00fcger","year":"2022","unstructured":"Gr\u00fcger, J., Geyer, T., Kuhn, M., Braun, S.A., Bergmann, R.: Verifying guideline compliance in clinical treatment using multi-perspective conformance checking: a case study. In: Munoz-Gama, J., Lu, X. (eds.) ICPM 2021. LNBIP, vol. 433, pp. 301\u2013313. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-98581-3_22"},{"issue":"3","key":"24_CR6","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/s10009-007-0038-x","volume":"9","author":"K Jensen","year":"2007","unstructured":"Jensen, K., Kristensen, L.M., Wells, L.: Coloured petri nets and CPN tools for modelling and validation of concurrent systems. Int. J. Softw. Tools Technol. Transfer 9(3), 213\u2013254 (2007)","journal-title":"Int. J. Softw. Tools Technol. Transfer"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Kataeva, V., Kalenkova, A.: Applying graph grammars for the generation of process models and their logs. In: Proceedings of the Spring\/Summer Young Researchers\u2019 Colloquium on Software Engineering proceeding (2014)","DOI":"10.15514\/SYRCOSE-2014-8-12"},{"key":"24_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"484","DOI":"10.1007\/978-3-540-27793-4_29","volume-title":"Applications and Theory of Petri Nets 2004","author":"O Kummer","year":"2004","unstructured":"Kummer, O., et al.: An extensible editor and simulation engine for petri nets: Renew. In: Cortadella, J., Reisig, W. (eds.) ICATPN 2004. LNCS, vol. 3099, pp. 484\u2013493. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-27793-4_29"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"de Leoni, M., van der Aalst, W.M.P.: Data-aware process mining. In: Shin, S.Y., Maldonado, J.C. (eds.) Proceedings of the 28th Annual ACM Symposium on Applied Computing, p. 1454. ACM Digital Library, ACM, New York (2013)","DOI":"10.1145\/2480362.2480633"},{"key":"24_CR10","unstructured":"Mannhardt, F.: Multi-perspective process mining. Ph.D. thesis, Mathematics and Computer Science (2018)"},{"key":"24_CR11","unstructured":"Medeiros, A., G\u00fcnther, C.: Process mining: using CPN tools to create test logs for mining algorithms. In: Proceedings of the Sixth Workshop on the Practical Use of Coloured Petri Nets and CPN Tools (CPN 2005) (2004)"},{"key":"24_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.simpat.2017.01.003","volume":"74","author":"AA Mitsyuk","year":"2017","unstructured":"Mitsyuk, A.A., Shugurov, I.S., Kalenkova, A.A., van der Aalst, W.M.: Generating event logs for high-level process models. Simul. Model. Pract. Theory 74, 1\u201316 (2017)","journal-title":"Simul. Model. Pract. Theory"},{"key":"24_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2022.103994","volume":"127","author":"J Munoz-Gama","year":"2022","unstructured":"Munoz-Gama, J., et al.: Process mining for healthcare: characteristics and challenges. J. Biomed. Inform. 127, 103994 (2022)","journal-title":"J. Biomed. Inform."},{"key":"24_CR14","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1007\/978-3-642-31069-0_31","volume-title":"Advanced Information Systems Engineering Workshops","author":"J Nakatumba","year":"2012","unstructured":"Nakatumba, J., Westergaard, M., van der Aalst, W.M.P.: Generating event logs with workload-dependent speeds from simulation models. In: Bajec, M., Eder, J. (eds.) CAiSE 2012. LNBIP, vol. 112, pp. 383\u2013397. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-31069-0_31"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Pertsukhov, P., Mitsyuk, A.: Simulating petri nets with inhibitor and reset arcs. Proc. ISP RAS 31, 151\u2013162 (2019)","DOI":"10.15514\/ISPRAS-2019-31(4)-10"},{"key":"24_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1007\/3-540-44919-1_28","volume-title":"Applications and Theory of Petri Nets 2003","author":"AV Ratzer","year":"2003","unstructured":"Ratzer, A.V., et al.: CPN tools for editing, simulating, and analysing coloured petri nets. In: van der Aalst, W.M.P., Best, E. (eds.) ICATPN 2003. LNCS, vol. 2679, pp. 450\u2013462. Springer, Heidelberg (2003). https:\/\/doi.org\/10.1007\/3-540-44919-1_28"},{"key":"24_CR17","doi-asserted-by":"crossref","unstructured":"Shugurov, I., Mitsyuk, A.: Generation of a set of event logs with noise. Institute for System Programming of the Russian Academy of Sciences (2014)","DOI":"10.15514\/SYRCOSE-2014-8-13"},{"key":"24_CR18","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/978-3-662-49851-4_1","volume-title":"Process Mining","author":"W Aalst","year":"2016","unstructured":"Aalst, W.: Data science in action. In: van der Aalst, W. (ed.) Process Mining, pp. 3\u201323. Springer, Heidelberg (2016). https:\/\/doi.org\/10.1007\/978-3-662-49851-4_1"}],"container-title":["Lecture Notes in Business Information Processing","Process Mining Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-27815-0_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T13:07:21Z","timestamp":1693832841000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-27815-0_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031278143","9783031278150"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-27815-0_24","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"value":"1865-1348","type":"print"},{"value":"1865-1356","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"26 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Process Mining","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bozen-Bolzano","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpm2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icpmconference.org\/2022\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"89","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"42","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.93","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}