{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T14:23:07Z","timestamp":1773325387690,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":13,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819550081","type":"print"},{"value":"9789819550098","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\/978-981-95-5009-8_39","type":"book-chapter","created":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T00:11:18Z","timestamp":1773274278000},"page":"537-544","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["OraPlan\u2013SQL: A Planning-Centric Framework for\u00a0Complex Bilingual NL2SQL Reasoning"],"prefix":"10.1007","author":[{"given":"Marianne Menglin","family":"Liu","sequence":"first","affiliation":[]},{"given":"Sai Ashish","family":"Somayajula","sequence":"additional","affiliation":[]},{"given":"Syed Fahad Allam","family":"Shah","sequence":"additional","affiliation":[]},{"given":"Sujith","family":"Ravi","sequence":"additional","affiliation":[]},{"given":"Dan","family":"Roth","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,4,1]]},"reference":[{"key":"39_CR1","unstructured":"Deng, M., et al.: Reforce: a text-to-SQL agent with self-refinement, format restriction, and column exploration. In: ICLR 2025 Workshop: VerifAI: AI Verification in the Wild (2025)"},{"key":"39_CR2","unstructured":"Deng, N., Chen, Y., Zhang, Y.: Recent advances in text-to-SQL: a survey of what we have and what we expect (2022). https:\/\/arxiv.org\/abs\/2208.10099"},{"key":"39_CR3","doi-asserted-by":"crossref","unstructured":"Dou, L., et al.: Towards knowledge-intensive text-to-SQL semantic parsing with formulaic knowledge. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pp. 5240\u20135253 (2022). https:\/\/aclanthology.org\/2022.emnlp-main.413.pdf","DOI":"10.18653\/v1\/2022.emnlp-main.350"},{"key":"39_CR4","doi-asserted-by":"crossref","unstructured":"Granado, F., Lotufo, R., Pereira, J.: Raise: Reasoning agent for interactive SQL exploration. arXiv preprint arXiv:2506.01273 (2025). https:\/\/arxiv.org\/abs\/2506.01273","DOI":"10.5753\/stil.2025.37823"},{"key":"39_CR5","doi-asserted-by":"crossref","unstructured":"Kanburo\u011flu, A.B.: Text-to-SQL: a methodical review of challenges and models. Turkish J. Electr. Eng. Comput. Sci. 32(3), 4077 (2024). https:\/\/journals.tubitak.gov.tr\/elektrik\/vol32\/iss3\/4\/","DOI":"10.55730\/1300-0632.4077"},{"key":"39_CR6","doi-asserted-by":"crossref","unstructured":"Knight, K., Graehl, J.: Machine transliteration. arXiv preprint cmp-lg\/9704003 (1997)","DOI":"10.3115\/979617.979634"},{"key":"39_CR7","unstructured":"Liu, T., et al.: Logiccat: a chain-of-thought text-to-SQL benchmark for complex reasoning. arXiv preprint arXiv:2505.18744 (2025). https:\/\/arxiv.org\/abs\/2505.18744"},{"key":"39_CR8","unstructured":"Pourreza, M., et al.: Chase-SQL: multi-path reasoning and preference optimized candidate selection in text-to-SQL. arXiv preprint arXiv:2410.01943 (2024). https:\/\/arxiv.org\/abs\/2410.01943"},{"key":"39_CR9","unstructured":"Seek.ai: Text2sql: an overview of past, present and future (2024). https:\/\/www.seek.ai\/blog\/a-survey-of-text-to-sqls-past-present-and-future"},{"key":"39_CR10","unstructured":"Sun, J., Li, G., Zhou, P., Ma, Y., Xu, J., Li, Y.: Agenticdata: an agentic data analytics system for heterogeneous data. arXiv preprint arXiv:2508.05002 (2025)"},{"key":"39_CR11","doi-asserted-by":"crossref","unstructured":"Yu, A., Yin, Y., Choi, E., et\u00a0al.: Spider: a large-scale, high-quality benchmark for complex and cross-domain semantic parsing and text-to-sql tasks. In: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 3581\u20133591. Association for Computational Linguistics (2018). https:\/\/www.aclweb.org\/anthology\/D18-1371\/","DOI":"10.18653\/v1\/D18-1425"},{"key":"39_CR12","doi-asserted-by":"crossref","unstructured":"Zheng, D., Lapata, M., Pan, J.Z.: Archer: a human-labeled text-to-sql dataset with arithmetic, commonsense and hypothetical reasoning. arXiv preprint arXiv:2402.12554 (2024)","DOI":"10.18653\/v1\/2024.eacl-long.6"},{"key":"39_CR13","unstructured":"Zhong, V., Xiong, C., Socher, R.: Seq2sql: Generating structured queries from natural language. In: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 423\u2013433. Association for Computational Linguistics (2017). https:\/\/www.aclweb.org\/anthology\/D17-1042\/"}],"container-title":["Lecture Notes in Computer Science","Knowledge Graphs"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-5009-8_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T00:11:20Z","timestamp":1773274280000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-5009-8_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819550081","9789819550098"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-5009-8_39","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":"1 April 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IJCKG","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Joint Conference on Knowledge Graphs","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Heraklion, Crete","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","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":"15 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ijckg2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ijckg2025.github.io\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}