{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T07:04:35Z","timestamp":1784012675183,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819234431","type":"print"},{"value":"9789819234448","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T00:00:00Z","timestamp":1784073600000},"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":[[2027]]},"DOI":"10.1007\/978-981-92-3444-8_24","type":"book-chapter","created":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T06:16:11Z","timestamp":1784009771000},"page":"281-293","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Text-to-SQL Framework Integrating Graph-Structured Schema Linking and Reasoning-Aware Generation"],"prefix":"10.1007","author":[{"given":"Qiyun","family":"Ma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuming","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aiping","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juechen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,15]]},"reference":[{"key":"24_CR1","first-page":"14617","volume-title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing","author":"XY Liu","year":"2024","unstructured":"Liu, X.Y., Shen, S.Y., Li, B.Y., et al.: A survey of text-to-SQL in the era of LLMs: where are we, and where are we going? In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pp. 14617\u201314643. Association for Computational Linguistics, Miami (2024)"},{"key":"24_CR2","first-page":"6943","volume-title":"Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing","author":"W Lei","year":"2020","unstructured":"Lei, W., Wang, W., Ma, Y., et al.: Re-examining the role of schema linking in text-to-SQL [C]. In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, pp. 6943\u20136954. Stroudsburg: Association for Computational Linguistics (2020)"},{"key":"24_CR3","unstructured":"Xu, X., Liu, C., Song, D.: Sqlnet: generating structured queries from natural language without reinforcement learning. arXiv preprint arXiv:1711.04436. (2017)"},{"key":"24_CR4","doi-asserted-by":"crossref","unstructured":"Yu, T., Li, Z., Zhang, Z., Zhang, R., Radev, D.: Typesql: knowledge-based type-aware neural text-to-sql generation. arXiv preprint arXiv:1804.09769. (2018)","DOI":"10.18653\/v1\/N18-2093"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Guo, J., et al.: Towards complex text-to-sql in cross-domain database with intermediate representation. arXiv preprint arXiv:1905.08205. (2019)","DOI":"10.18653\/v1\/P19-1444"},{"key":"24_CR6","doi-asserted-by":"publisher","first-page":"7567","DOI":"10.18653\/v1\/2020.acl-main.677","volume-title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics","author":"B Wang","year":"2020","unstructured":"Wang, B., Shin, R., Liu, X., et al.: Rat-sql: relation-aware schema encoding and linking for text-to-sql parsers [C]. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 7567\u20137578 (2020)"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Cao, R., Chen, L., Chen, Z., Zhao, Y., Zhu, S., Yu, K.: LGESQL: line graph enhanced text-to-SQL model with mixed local and non-local relations. arXiv preprint arXiv:2106.01093. (2021)","DOI":"10.18653\/v1\/2021.acl-long.198"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Choi, D., Shin, M.C., Kim, E., Shin, D.R.: RYANSQL: recursively applying sketch-based slot fillings for complex text-to-SQL in cross-domain databases. arXiv preprint arXiv:2004.03125. (2020)","DOI":"10.1162\/coli_a_00403"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Rubin, O., Berant, J.: SmBoP: semi-autoregressive bottom-up semantic parsing. arXiv preprint arXiv:2010.12412. (2021)","DOI":"10.18653\/v1\/2021.naacl-main.29"},{"key":"24_CR10","doi-asserted-by":"crossref","unstructured":"Chen, Z., et al.: ShadowGNN: graph projection neural network for Text-to-SQL parser. arXiv preprint arXiv:2104.04689. (2021)","DOI":"10.18653\/v1\/2021.naacl-main.441"},{"key":"24_CR11","first-page":"1","volume":"36","author":"M Pourreza","year":"2024","unstructured":"Pourreza, M., Rafiei, D.: Din-sql: decomposed in-context learning of text-to-sql with self-correction. Adv. Neural Inf. Proces. Syst. 36, 1\u201315 (2024)","journal-title":"Adv. Neural Inf. Proces. Syst."},{"key":"24_CR12","unstructured":"Wang, B., Ren, C., Yang, J., Liang, X., Bai, J., Zhang, Q.W., et al.: Mac-sql: multi-agent collaboration for text-to-sql. arXiv preprint arXiv:2312.11242. (2023)"},{"key":"24_CR13","unstructured":"Talaei, S., Pourreza, M., Chang, Y.C., Mirhoseini, A., Saberi, A.: Chess: contextual harnessing for efficient sql synthesis. arXiv preprint arXiv:2405.16755. (2024)"},{"key":"24_CR14","doi-asserted-by":"crossref","unstructured":"Qu, G., et al.: Before generation, align it! A novel and effective strategy for mitigating hallucinations in text-to-SQL generation. arXiv preprint arXiv:2405.15307. (2024)","DOI":"10.18653\/v1\/2024.findings-acl.324"},{"key":"24_CR15","unstructured":"Dong, X., et al.: C3: zero-shot text-to-sql with chatgpt. arXiv preprint arXiv:2307.07306. (2023)"},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"Pourreza, M., Rafiei, D.: Dts-sql: decomposed text-to-sql with small large language models. arXiv preprint arXiv:2402.01117. (2024)","DOI":"10.18653\/v1\/2024.findings-emnlp.481"},{"key":"24_CR17","unstructured":"Lee, D., Park, C., Kim, J., Park, H.: Mcs-sql: leveraging multiple prompts and multiple-choice selection for text-to-sql generation. arXiv preprint arXiv:2405.07467. (2024)"},{"key":"24_CR18","unstructured":"Gao, D., et al.: Text-to-sql empowered by large language models: a benchmark evaluation. arXiv preprint arXiv:2308.15363. (2023)"},{"key":"24_CR19","doi-asserted-by":"crossref","unstructured":"Li, B., Luo, Y., Chai, C., Li, G., Tang, N.: The dawn of natural language to SQL: are we fully ready? arXiv preprint arXiv:2406.01265. (2024)","DOI":"10.14778\/3681954.3682003"},{"key":"24_CR20","volume-title":"Sentence-BERT: Sentence Embeddings Using Siamese BERT-Networks","author":"N Reimers","year":"2019","unstructured":"Reimers, N., Gurevych, I.: Sentence-BERT: Sentence Embeddings Using Siamese BERT-Networks. EMNLP (2019)"},{"key":"24_CR21","volume-title":"2025 International Joint Conference on Neural Networks","author":"Q Ma","year":"2025","unstructured":"Ma, Q., Jiang, S., Wei, Z., et al.: CCS-SQL: enhancing text-to-SQL framework for computational queries via large language models [C]. In: 2025 International Joint Conference on Neural Networks (2025)"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-3444-8_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T06:16:14Z","timestamp":1784009774000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3444-8_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,15]]},"ISBN":["9789819234431","9789819234448"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3444-8_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,15]]},"assertion":[{"value":"15 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","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":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}