{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T21:59:50Z","timestamp":1757627990846,"version":"3.44.0"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032029355"},{"type":"electronic","value":"9783032029362"}],"license":[{"start":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T00:00:00Z","timestamp":1756512000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T00:00:00Z","timestamp":1756512000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-02936-2_17","type":"book-chapter","created":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T10:13:46Z","timestamp":1756462426000},"page":"232-246","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Beyond Logs: AI\u2019s Internal Representations as\u00a0the\u00a0New Process Evidence"],"prefix":"10.1007","author":[{"given":"Aleksandar","family":"Gavric","sequence":"first","affiliation":[]},{"given":"Dominik","family":"Bork","sequence":"additional","affiliation":[]},{"given":"Henderik A.","family":"Proper","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,30]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"van der Aalst, W.: Process Mining: Data Science in Action. Springer, Berlin, Heidelberg (2016)","DOI":"10.1007\/978-3-662-49851-4"},{"key":"17_CR2","unstructured":"Bayomie, D., Revoredo, K., Bachhofner, S., Kurniawan, K., Kiesling, E., Mendling, J.: Analyzing manufacturing process by enabling process mining on sensor data. In: PoEM Workshops (2022)"},{"key":"17_CR3","doi-asserted-by":"crossref","unstructured":"Berti, A., van Zelst, S., Schuster, D.: Pm4py: a process mining library for python. Softw. Impacts 17, 100556 (2023)","DOI":"10.1016\/j.simpa.2023.100556"},{"key":"17_CR4","doi-asserted-by":"publisher","unstructured":"Camargo, M., Dumas, M., Gonz\u00e1lez-Rojas, O.: Learning accurate LSTM models of business processes. In: Hildebrandt, T., van Dongen, B.F., R\u00f6glinger, M., Mendling, J. (eds.) BPM 2019. LNCS, vol. 11675, pp. 286\u2013302. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-26619-6_19","DOI":"10.1007\/978-3-030-26619-6_19"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Dahal, P.: Learning embedding space for clustering from deep representations. In: 2018 IEEE International Conference on Big Data (Big Data), pp. 3747\u20133755. IEEE (2018)","DOI":"10.1109\/BigData.2018.8622629"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"van Detten, J.N., Schumacher, P., Leemans, S.J.: An approximate inductive miner. In: 2023 5th International Conference on Process Mining (ICPM), pp. 129\u2013136. IEEE (2023)","DOI":"10.1109\/ICPM60904.2023.10271971"},{"key":"17_CR7","unstructured":"Fortune Business Insights: Process mining software market size, share, growth | forecast [2024-2032]. https:\/\/www.fortunebusinessinsights.com\/process-mining-software-market-104792 (2024), Accessed 30 Apr 2025"},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"Gavric, A., Bork, D., Proper, H.: Enriching business process event logs with multimodal evidence. In: The 17th IFIP WG 8.1 Working Conference on the Practice of Enterpris Modeling (PoEM) (2024)","DOI":"10.1007\/978-3-031-77908-4_11"},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Gavric, A., Bork, D., Proper, H.: Multimodal process mining. In: 26th International Conference on Business Informatics (CBI) (2024)","DOI":"10.1109\/CBI62504.2024.00021"},{"key":"17_CR10","unstructured":"Gavric, A., Bork, D., Proper, H.: Stakeholder-specific jargon-based representation of multimodal data within business process. In: Companion Proceedings of the 17th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling (PoEM Forum 2024) (2024)"},{"key":"17_CR11","doi-asserted-by":"publisher","first-page":"102510","DOI":"10.1016\/j.is.2024.102510","volume":"129","author":"A Gianola","year":"2025","unstructured":"Gianola, A., Ko, J., Maggi, F.M., Montali, M., Winkler, S.: Approximate conformance checking: Fast computation of multi-perspective, probabilistic alignments. Inf. Syst. 129, 102510 (2025)","journal-title":"Inf. Syst."},{"key":"17_CR12","doi-asserted-by":"crossref","unstructured":"Girdhar, R., et al.: Imagebind: one embedding space to bind them all. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15180\u201315190 (2023)","DOI":"10.1109\/CVPR52729.2023.01457"},{"key":"17_CR13","unstructured":"Hahn, M., Silva, A., Rehg, J.M.: Action2vec: a crossmodal embedding approach to action learning. arXiv preprint arXiv:1901.00484 (2019)"},{"key":"17_CR14","unstructured":"Hawley, S.H., Tackett, A.R.: Operational latent spaces. arXiv preprint arXiv:2406.02699 (2024)"},{"key":"17_CR15","unstructured":"Knoblich, S., Mendling, J., Jambor, H.: Review of visual encodings in common process mining tools (2024)"},{"issue":"1","key":"17_CR16","first-page":"144","volume":"20","author":"R Lashof","year":"1976","unstructured":"Lashof, R.: Embedding spaces. Ill. J. Math. 20(1), 144\u2013154 (1976)","journal-title":"Ill. J. Math."},{"key":"17_CR17","unstructured":"Lee, D., Szegedy, C., Rabe, M.N., Loos, S.M., Bansal, K.: Mathematical reasoning in latent space. arXiv preprint arXiv:1909.11851 (2019)"},{"key":"17_CR18","doi-asserted-by":"crossref","unstructured":"Leemans, S., Fahland, D., van\u00a0der Aalst, W.: Discovering block-structured process models from event logs. In: Business Process Management, pp. 311\u2013327. Springer (2013)","DOI":"10.1007\/978-3-642-38697-8_17"},{"key":"17_CR19","unstructured":"Mendling, J., Reijers, H.A., La\u00a0Rosa, M., Dumas, M.: Fundamentals of business process management. In: GI-Jahrestagung, p.\u00a0157. Springer (2013)"},{"key":"17_CR20","doi-asserted-by":"crossref","unstructured":"Neuberger, J., Ackermann, L., van\u00a0der Aa, H., Jablonski, S.: A universal prompting strategy for extracting process model information from natural language text using large language models. In: International Conference on Conceptual Modeling, pp. 38\u201355. Springer (2024)","DOI":"10.1007\/978-3-031-75872-0_3"},{"key":"17_CR21","doi-asserted-by":"publisher","first-page":"184073","DOI":"10.1109\/ACCESS.2020.3029323","volume":"8","author":"V Pasquadibisceglie","year":"2020","unstructured":"Pasquadibisceglie, V., Appice, A., Castellano, G., Malerba, D., Modugno, G.: Orange: outcome-oriented predictive process monitoring based on image encoding and cnns. IEEE Access 8, 184073\u2013184086 (2020)","journal-title":"IEEE Access"},{"key":"17_CR22","doi-asserted-by":"crossref","unstructured":"Rebmann, A., Schmidt, F.D., Glava\u0161, G., van Der\u00a0Aa, H.: Evaluating the ability of llms to solve semantics-aware process mining tasks. In: 2024 6th International Conference on Process Mining (ICPM), pp. 9\u201316. IEEE (2024)","DOI":"10.1109\/ICPM63005.2024.10680677"},{"issue":"5","key":"17_CR23","first-page":"796","volume":"20","author":"A Rozinat","year":"2008","unstructured":"Rozinat, A., van der Aalst, W.: Conformance checking of processes based on replay of activity sequences. IEEE Trans. Knowl. Data Eng. 20(5), 796\u2013808 (2008)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"1","key":"17_CR24","doi-asserted-by":"publisher","first-page":"e1573","DOI":"10.1002\/widm.1573","volume":"15","author":"A Rullo","year":"2025","unstructured":"Rullo, A., Alam, F., Serra, E.: Trace encoding techniques for multi-perspective process mining: a comparative study. Wiley Interdisciplinary Rev. Data Min. Knowl. Disc. 15(1), e1573 (2025)","journal-title":"Wiley Interdisciplinary Rev. Data Min. Knowl. Disc."},{"issue":"4","key":"17_CR25","doi-asserted-by":"publisher","first-page":"1055","DOI":"10.1007\/s10270-016-0536-y","volume":"17","author":"M Sol\u00e9","year":"2018","unstructured":"Sol\u00e9, M., Carmona, J.: Encoding process discovery problems in smt. Softw. Syst. Model. 17(4), 1055\u20131078 (2018)","journal-title":"Softw. Syst. Model."},{"key":"17_CR26","doi-asserted-by":"crossref","unstructured":"Van\u00a0Detten, J.N., Schumacher, P., Leemans, S.J.: Discovering compact, live and identifier-sound object-centric process models. In: 2024 6th International Conference on Process Mining (ICPM), pp. 113\u2013120. IEEE (2024)","DOI":"10.1109\/ICPM63005.2024.10680659"}],"container-title":["Lecture Notes in Business Information Processing","Business Process Management: Responsible BPM Forum, Process Technology Forum, Educators Forum"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-02936-2_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T05:17:29Z","timestamp":1757481449000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-02936-2_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,30]]},"ISBN":["9783032029355","9783032029362"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-02936-2_17","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"type":"print","value":"1865-1348"},{"type":"electronic","value":"1865-1356"}],"subject":[],"published":{"date-parts":[[2025,8,30]]},"assertion":[{"value":"30 August 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BPM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Business Process Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Seville","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 August 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bpm2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.bpm2025seville.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}