{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T11:57:48Z","timestamp":1780919868381,"version":"3.54.1"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032281166","type":"print"},{"value":"9783032281173","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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\/978-3-032-28117-3_2","type":"book-chapter","created":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T10:57:40Z","timestamp":1780916260000},"page":"21-36","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An AI Enterprise Modeling Project Assistant \u2013 Needs and Possibilities"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0870-0330","authenticated-orcid":false,"given":"Jelena","family":"Zdravkovic","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3669-832X","authenticated-orcid":false,"given":"Janis","family":"Stirna","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9765-9845","authenticated-orcid":false,"given":"Chen Hsi","family":"Tsai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7431-8412","authenticated-orcid":false,"given":"Kurt","family":"Sandkuhl","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,9]]},"reference":[{"key":"2_CR1","doi-asserted-by":"publisher","unstructured":"Storey V.C., et al.: Large language models for conceptual modeling: assessment and application potential. Data Knowl. Eng. 160 (2025). ISSN 0169\u2013023X, https:\/\/doi.org\/10.1016\/j.datak.2025.102480","DOI":"10.1016\/j.datak.2025.102480"},{"key":"2_CR2","doi-asserted-by":"publisher","unstructured":"Sandkuhl, K., Stirna, J., Persson, A., Wi\u00dfotzki, M.: Enterprise Modeling Tackling Business Challenges with the 4EM Method. Springer, Heidelberg (2014). https:\/\/doi.org\/10.1007\/978-3-662-43725-4","DOI":"10.1007\/978-3-662-43725-4"},{"key":"2_CR3","doi-asserted-by":"publisher","unstructured":"Sandkuhl, K., Barn, B., Barat, S.: Neural text generators in enterprise modeling: Can ChatGPT be used as proxy domain expert? In: 31st International Conference on Information Systems Development, AIS (2023). https:\/\/doi.org\/10.62036\/ISD.2023.44","DOI":"10.62036\/ISD.2023.44"},{"key":"2_CR4","doi-asserted-by":"crossref","unstructured":"Sandkuhl, K.: LLM-assistance for quality control of LLM output. In: International Conference on Business Informatics Research. In: LNBIP, vol. 529. Springer, Heidelberg (2024)","DOI":"10.1007\/978-3-031-71333-0_3"},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"Buchmann, R., et al.: Large language models: expectations for semantics-driven systems engineering. Data Knowl. Eng. 152\/6 (2024)","DOI":"10.1016\/j.datak.2024.102324"},{"key":"2_CR6","first-page":"1","volume":"18","author":"H-G Fill","year":"2023","unstructured":"Fill, H.-G., Fettke, P., K\u00f6pke, J.: Conceptual modeling and large language models: impressions from first experiments with ChatGPT. Enterp. Model. Inf. Syst. Arch. (EMISAJ) 18, 1\u201315 (2023)","journal-title":"Enterp. Model. Inf. Syst. Arch. (EMISAJ)"},{"key":"2_CR7","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"2_CR8","unstructured":"Kitchenham, B.A., Charters, S.: Guidelines for performing systematic literature reviews in software engineering. Technical Report EBSE-2007-01, School of Computer Science and Mathematics, Keele University (2007)"},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Kolev, P.A., Pruss, H.H., Wilken, J.R., Sandkuhl, K.: Grass-root enterprise modelling: how large language models can help. In: International Processing of of PoEM 2024. Springer, Heidelberg (2024)","DOI":"10.1007\/978-3-031-77908-4_8"},{"key":"2_CR10","doi-asserted-by":"publisher","unstructured":"Zdravkovic, J., Stirna, J., Tsai, C.H.: Pondering on capability brokering with LLM. In: Pufahl, L., Rosenthal, K., Espa\u00f1a, S., Nurcan, S. (eds.) Intelligent Information Systems. CAiSE 2025. LNBIP, vol. 557. Springer, Cham (2025). https:\/\/doi.org\/10.1007\/978-3-031-94590-8_20","DOI":"10.1007\/978-3-031-94590-8_20"},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"G\u00f6rgen, L., M\u00fcller, E., Triller, M., Nast, B., Sandkuhl, K.: Large language models in enterprise modeling: case study and experiences. In: MODELSWARD (2024)","DOI":"10.5220\/0012387000003645"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Klievtsova, N., Benzin, J.-V., Kampik, T., Mangler, J., Rinderle-Ma, S.: Conversational process modelling: State of the art, applications, and implications in practice. In: LNBIP, vol. 490. Springer, Heidelberg (2023)","DOI":"10.1007\/978-3-031-41623-1_19"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Vidgof, M., Bachhofner, S., Mendling, J.: Large language models for business process management: opportunities and challenges. In: International Conference on Business Process Management, pp. 107\u2013123 (2023)","DOI":"10.1007\/978-3-031-41623-1_7"},{"key":"2_CR14","doi-asserted-by":"crossref","unstructured":"de Kinderen, S., Winter, K.: Towards taming large language models with prompt templates for legal GRL modeling. In: Lecture Notes in Business Information Processing, LNBIP, vol. 511. Springer, Heidelberg (2024)","DOI":"10.1007\/978-3-031-61007-3_17"},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"Apaydin, K., Zisgen, Y.: Local large language models for business process modeling. In: Lecture Notes in Business Information Processing, vol. 533, pp. 605\u2013609 (2025)","DOI":"10.1007\/978-3-031-82225-4_44"},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Bennoit, C., Greff, T., Baum, D., Bajwa, I.A. (eds.): Identifying Use Cases for Large Language Models in the Business Process Management Lifecycle (2024)","DOI":"10.1109\/CBI62504.2024.00037"},{"key":"2_CR17","doi-asserted-by":"crossref","unstructured":"Klievtsova, N., Benzin, J.V., Mangler, J., Kampik, T., Rinderle-Ma, S.: Process modeler vs. chatbot: is generative AI taking over process modeling? In: Lecture Notes in Business Information Processing, vol. 533, pp. 637\u2013649 (2025)","DOI":"10.1007\/978-3-031-82225-4_47"},{"key":"2_CR18","doi-asserted-by":"crossref","unstructured":"Neuberger, J., Ackermann, L., van der Aa, H., Jablonski, S.: A universal prompting strategy for extracting process model information from natural language text using large language models. In: Lecture Notes in Computer Science, LNCS, vol. 15238, pp. 38\u201355 (2025)","DOI":"10.1007\/978-3-031-75872-0_3"},{"key":"2_CR19","doi-asserted-by":"crossref","unstructured":"Licardo, J. T., Tankovi\u00b4c, N., Etinger, D.: A method for extracting bpmn models from textual descriptions using natural language processing. Procedia Comput. Sci. 239 (2024)","DOI":"10.1016\/j.procs.2024.06.196"},{"key":"2_CR20","first-page":"1","volume":"55","author":"P Liu","year":"2023","unstructured":"Liu, P., et al.: Pre-train, prompt, and predict: a systematic survey of prompting methods in natural language processing. ACM Comput. Surv. 55, 1\u201335 (2023)","journal-title":"ACM Comput. Surv."},{"key":"2_CR21","doi-asserted-by":"publisher","unstructured":"K\u00f6pke, J., Safan, A.: Efficient LLM-based conversational process modeling. In: Gdowska, K., G\u00f3mez-L\u00f3pez, M.T., Rehse, JR. (eds.) Business Process Management Workshops. BPM 2024. LNBIP, vol. 534. Springer, Heidelberg (2025). https:\/\/doi.org\/10.1007\/978-3-031-78666-2_20","DOI":"10.1007\/978-3-031-78666-2_20"},{"key":"2_CR22","doi-asserted-by":"crossref","unstructured":"Nour Eldin, A., Assy, N., Anesini, O., Dalmas, B., Gaaloul, W.: A decomposed hybrid approach to business process modeling with LLMs. In: Comuzzi, et al. (eds.) Cooperative Information Systems. CoopIS 2024. LNCS, vol. 15506. Springer, Heidelberg (2025)","DOI":"10.1007\/978-3-031-81375-7_14"},{"key":"2_CR23","unstructured":"White, J., et al.: A prompt pattern catalog to enhance prompt engineering with ChatGPT. arXiv preprint arXiv:2302.11382 (2025)"},{"key":"2_CR24","unstructured":"Persson, A. Enterprise modelling in practice: situational factors and their in-fluence on adopting a participative approach. Ph.D. thesis, Department of Computer and Systems Sciences, Stockholm University (2001). ISSN 1101\u20138526"},{"key":"2_CR25","unstructured":"De Martino, V., Casta\u00f1o, J., Palomba, F., Franch, X., Mart\u00ednez-Fern\u00e1ndez, S.: A Methodological Framework for LLM-Based Mining of Software Repositories. arXiv preprint arXiv:2508.02233 (2025)"}],"container-title":["Lecture Notes in Computer Science","Advanced Information Systems Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-28117-3_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T10:57:53Z","timestamp":1780916273000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-28117-3_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032281166","9783032281173"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-28117-3_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"9 June 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CAiSE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Verona","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":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 June 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 June 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"38","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caise2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/caise26.polimi.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}