{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T11:11:09Z","timestamp":1778065869337,"version":"3.51.4"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032251558","type":"print"},{"value":"9783032251565","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\/978-3-032-25156-5_24","type":"book-chapter","created":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T10:15:30Z","timestamp":1778062530000},"page":"457-475","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Advancing NL2SPARQL via\u00a0Agentic Workflow Design and\u00a0Dynamic URI Grounding"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-8150-7545","authenticated-orcid":false,"given":"Franz","family":"Pawlus","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1246-8694","authenticated-orcid":false,"given":"Justin","family":"Weich","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3449-9319","authenticated-orcid":false,"given":"Markus","family":"Nilles","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,7]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Abane, A., Bekri, A., Battou, A.: Fastrag: retrieval augmented generation for semi-structured data. CoRR arXiv:2411.13773 (2024)","DOI":"10.1109\/AICCSA66935.2025.11315184"},{"key":"24_CR2","doi-asserted-by":"publisher","unstructured":"Arazzi, M., Ligari, D., Nicolazzo, S., Nocera, A.: Augmented knowledge graph querying leveraging LLMs. In: International Joint Conference on Neural Networks, IJCNN 2025, Rome, Italy, June 30 \u2013 July 5, 2025, pp.\u00a01\u20138. IEEE (2025). https:\/\/doi.org\/10.1109\/IJCNN64981.2025.11229060","DOI":"10.1109\/IJCNN64981.2025.11229060"},{"key":"24_CR3","unstructured":"Banerjee, D., Awale, S., Usbeck, R., Biemann, C.: DBLP-QuAD: a question answering dataset over the DBLP scholarly knowledge graph (2023). https:\/\/ceur-ws.org\/Vol-3617\/paper-05.pdf"},{"key":"24_CR4","doi-asserted-by":"publisher","unstructured":"Banerjee, D., Nair, P.A., Kaur, J.N., Usbeck, R., Biemann, C.: Modern baselines for SPARQL semantic parsing. In: Amig\u00f3, E., Castells, P., Gonzalo, J., Carterette, B., Culpepper, J.S., Kazai, G. (eds.) SIGIR 2022: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 \u2013 15, 2022, pp. 2260\u20132265. ACM (2022). https:\/\/doi.org\/10.1145\/3477495.3531841","DOI":"10.1145\/3477495.3531841"},{"key":"24_CR5","doi-asserted-by":"publisher","first-page":"125057","DOI":"10.1109\/ACCESS.2024.3453215","volume":"12","author":"PAKK Diallo","year":"2024","unstructured":"Diallo, P.A.K.K., Reyd, S., Zouaq, A.: A comprehensive evaluation of neural SPARQL query generation from natural language questions. IEEE Access 12, 125057\u2013125078 (2024). https:\/\/doi.org\/10.1109\/ACCESS.2024.3453215","journal-title":"IEEE Access"},{"key":"24_CR6","unstructured":"Emonet, V., Bolleman, J.T., Duvaud, S., de\u00a0Farias, T.M., Sima, A.C.: LLM-based SPARQL query generation from natural language over federated knowledge graphs. In: Alharbi, R., de\u00a0Berardinis, J., Groth, P., Mero\u00f1o-Pe\u00f1uela, A., Simperl, E., Tamma, V. (eds.) Proceedings of the Special Session on Harmonising Generative AI and Semantic Web Technologies (HGAIS 2024) co-located with the 23rd International Semantic Web Conference (ISWC 2024), Baltimore, Maryland, November 13, 2024. CEUR Workshop Proceedings, vol.\u00a03953. CEUR-WS.org (2024). https:\/\/ceur-ws.org\/Vol-3953\/355.pdf"},{"key":"24_CR7","unstructured":"Gao, Y., et al.: Retrieval-augmented generation for large language models: a survey. CoRR arXiv:2312.10997 (2023)"},{"key":"24_CR8","doi-asserted-by":"publisher","unstructured":"Hirigoyen, R., Zouaq, A., Reyd, S.: A copy mechanism for handling knowledge base elements in SPARQL neural machine translation. In: He, Y., et al. (eds.) Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20\u201323, 2022, pp. 226\u2013236. Association for Computational Linguistics (2022). https:\/\/doi.org\/10.18653\/V1\/2022.FINDINGS-AACL.22","DOI":"10.18653\/V1\/2022.FINDINGS-AACL.22"},{"issue":"6","key":"24_CR9","doi-asserted-by":"publisher","first-page":"895","DOI":"10.3233\/SW-160247","volume":"8","author":"K H\u00f6ffner","year":"2017","unstructured":"H\u00f6ffner, K., Walter, S., Marx, E., Usbeck, R., Lehmann, J., Ngomo, A.N.: Survey on challenges of question answering in the semantic web. Semantic Web 8(6), 895\u2013920 (2017). https:\/\/doi.org\/10.3233\/SW-160247","journal-title":"Semantic Web"},{"key":"24_CR10","unstructured":"Lewis, P., et al.: Retrieval-augmented generation for knowledge-intensive NLP tasks. In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H. (eds.) Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6\u201312, 2020, virtual (2020). https:\/\/proceedings.neurips.cc\/paper\/2020\/hash\/6b493230205f780e1bc26945df7481e5-Abstract.html"},{"key":"24_CR11","unstructured":"Luz, F.F., Finger, M.: Semantic parsing natural language into SPARQL: improving target language representation with neural attention. CoRR arXiv:1803.04329 (2018)"},{"issue":"7","key":"24_CR12","doi-asserted-by":"publisher","first-page":"3580","DOI":"10.1109\/TKDE.2024.3352100","volume":"36","author":"S Pan","year":"2024","unstructured":"Pan, S., Luo, L., Wang, Y., Chen, C., Wang, J., Wu, X.: Unifying large language models and knowledge graphs: a roadmap. IEEE Trans. Knowl. Data Eng. 36(7), 3580\u20133599 (2024). https:\/\/doi.org\/10.1109\/TKDE.2024.3352100","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"24_CR13","doi-asserted-by":"publisher","unstructured":"Reyd, S., Zouaq, A.: Assessing the generalization capabilities of neural machine translation models for SPARQL query generation. In: Payne, T.R., et al. (eds.) The Semantic Web - ISWC 2023 - 22nd International Semantic Web Conference, Athens, Greece, November 6\u201310, 2023, Proceedings, Part I. Lecture Notes in Computer Science, vol. 14265, pp. 484\u2013501. Springer (2023). https:\/\/doi.org\/10.1007\/978-3-031-47240-4_26","DOI":"10.1007\/978-3-031-47240-4_26"},{"key":"24_CR14","doi-asserted-by":"publisher","unstructured":"See, A., Liu, P.J., Manning, C.D.: Get to the point: summarization with pointer-generator networks. In: Barzilay, R., Kan, M. (eds.) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 \u2013 August 4, Volume 1: Long Papers, pp. 1073\u20131083. Association for Computational Linguistics (2017). https:\/\/doi.org\/10.18653\/V1\/P17-1099","DOI":"10.18653\/V1\/P17-1099"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Sharma, A., Lara, L., Zouaq, A., Pal, C.J.: Reducing hallucinations in language model-based SPARQL query generation using post-generation memory retrieval. CoRR arXiv:2502.13369 (2025)","DOI":"10.18653\/v1\/2026.findings-eacl.243"},{"key":"24_CR16","unstructured":"Soru, T., et al.: SPARQL as a foreign language. In: Fern\u00e1ndez, J.D., Hellmann, S. (eds.) Proceedings of the Posters and Demos Track of the 13th International Conference on Semantic Systems - SEMANTiCS2017 co-located with the 13th International Conference on Semantic Systems (SEMANTiCS 2017), Amsterdam, The Netherlands, September 11\u201314, 2017. CEUR Workshop Proceedings, vol.\u00a02044. CEUR-WS.org (2017). https:\/\/ceur-ws.org\/Vol-2044\/paper14\/"},{"key":"24_CR17","doi-asserted-by":"publisher","unstructured":"Steinmetz, N., Arning, A., Sattler, K.: From natural language questions to SPARQL queries: a pattern-based approach. In: Grust, T., et al. (eds.) Datenbanksysteme f\u00fcr Business, Technologie und Web (BTW 2019), 18. Fachtagung des GI-Fachbereichs, Datenbanken und Informationssysteme\" (DBIS), 4\u20138. M\u00e4rz 2019, Rostock, Germany, Proceedings. LNI, pp. 289\u2013308. Gesellschaft f\u00fcr Informatik, Bonn (2019). https:\/\/doi.org\/10.18420\/BTW2019-18","DOI":"10.18420\/BTW2019-18"},{"key":"24_CR18","doi-asserted-by":"publisher","unstructured":"Su, W., Tang, Y., Ai, Q., Wang, C., Wu, Z., Liu, Y.: Mitigating entity-level hallucination in large language models. In: Sakai, T., Ishita, E., Ohshima, H., Hasibi, F., Mao, J., Jose, J.M. (eds.) Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2024, Tokyo, Japan, December 9\u201312, 2024, pp. 23\u201331. ACM (2024). https:\/\/doi.org\/10.1145\/3673791.3698403","DOI":"10.1145\/3673791.3698403"},{"key":"24_CR19","unstructured":"Team, G.: Gemini 2.5: pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities. CoRR arXiv:2507.06261 (2025)"},{"key":"24_CR20","doi-asserted-by":"publisher","unstructured":"Unger, C., B\u00fchmann, L., Lehmann, J., Ngomo, A.N., Gerber, D., Cimiano, P.: Template-based question answering over RDF data. In: Mille, A., Gandon, F., Misselis, J., Rabinovich, M., Staab, S. (eds.) Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16\u201320, 2012, pp. 639\u2013648. ACM (2012). https:\/\/doi.org\/10.1145\/2187836.2187923","DOI":"10.1145\/2187836.2187923"},{"issue":"6","key":"24_CR21","doi-asserted-by":"publisher","first-page":"186345","DOI":"10.1007\/S11704-024-40231-1","volume":"18","author":"L Wang","year":"2024","unstructured":"Wang, L., et al.: A survey on large language model based autonomous agents. Front. Comput. Sci. 18(6), 186345 (2024). https:\/\/doi.org\/10.1007\/S11704-024-40231-1","journal-title":"Front. Comput. Sci."},{"key":"24_CR22","unstructured":"Yao, S., et al.: React: synergizing reasoning and acting in language models. In: The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1\u20135, 2023. OpenReview.net (2023). https:\/\/openreview.net\/forum?id=WE_vluYUL-X"},{"key":"24_CR23","doi-asserted-by":"publisher","unstructured":"Yao, Y., Koller, A.: Structural generalization is hard for sequence-to-sequence models pp. 5048\u20135062 (2022). https:\/\/doi.org\/10.18653\/V1\/2022.EMNLP-MAIN.337","DOI":"10.18653\/V1\/2022.EMNLP-MAIN.337"},{"key":"24_CR24","doi-asserted-by":"publisher","first-page":"510","DOI":"10.1016\/J.FUTURE.2020.12.013","volume":"117","author":"X Yin","year":"2021","unstructured":"Yin, X., Gromann, D., Rudolph, S.: Neural machine translating from natural language to SPARQL. Future Gener. Comput. Syst. 117, 510\u2013519 (2021). https:\/\/doi.org\/10.1016\/J.FUTURE.2020.12.013","journal-title":"Future Gener. Comput. Syst."},{"key":"24_CR25","doi-asserted-by":"publisher","unstructured":"Zafar, H., Napolitano, G., Lehmann, J.: Formal query generation for question answering over knowledge bases. In: Gangemi, A., et al. (eds.) The Semantic Web - 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3\u20137, 2018, Proceedings. Lecture Notes in Computer Science, vol. 10843, pp. 714\u2013728. Springer (2018). https:\/\/doi.org\/10.1007\/978-3-319-93417-4_46","DOI":"10.1007\/978-3-319-93417-4_46"},{"key":"24_CR26","unstructured":"Zhao, Y., et al.: Agentict$$ ^{\\text{2}}$$s:robust text-to-SPARQL via agentic collaborative reasoning over heterogeneous knowledge graphs for the circular economy. CoRR arXiv:2508.01815 (2025)"},{"key":"24_CR27","unstructured":"Zhu, X., Li, Q., Cui, L., Liu, Y.: Large language model enhanced text-to-SQL generation: a survey. CoRR arXiv:2410.06011 (2024)"},{"key":"24_CR28","doi-asserted-by":"publisher","unstructured":"Zou, L., Huang, R., Wang, H., Yu, J.X., He, W., Zhao, D.: Natural language question answering over RDF: a graph data driven approach. In: Dyreson, C.E., Li, F., \u00d6zsu, M.T. (eds.) International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, June 22\u201327, 2014, pp. 313\u2013324. ACM (2014). https:\/\/doi.org\/10.1145\/2588555.2610525","DOI":"10.1145\/2588555.2610525"}],"container-title":["Lecture Notes in Computer Science","The Semantic Web"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-25156-5_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T10:15:41Z","timestamp":1778062541000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-25156-5_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032251558","9783032251565"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-25156-5_24","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":"7 May 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ESWC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Semantic Web Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dubrovnik","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Croatia","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":"10 May 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 May 2026","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":"esws2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2026.eswc-conferences.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}