{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T07:04:21Z","timestamp":1771225461884,"version":"3.50.1"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032176035","type":"print"},{"value":"9783032176042","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\/978-3-032-17604-2_12","type":"book-chapter","created":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T06:07:32Z","timestamp":1771222052000},"page":"121-132","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Facilitating Information Extraction in\u00a0Education by\u00a0Translating Questions from\u00a0Students, Instructors, and\u00a0Managers Into Knowledge Graph Queries Through Large Language Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6053-3015","authenticated-orcid":false,"given":"Ludovico","family":"Boratto","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4668-2476","authenticated-orcid":false,"given":"Gianni","family":"Fenu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4899-038X","authenticated-orcid":false,"given":"Theo","family":"Floris","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3287-4450","authenticated-orcid":false,"given":"Francesca Maridina","family":"Malloci","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3729-231X","authenticated-orcid":false,"given":"Andrea Giovanni","family":"Martis","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7934-9787","authenticated-orcid":false,"given":"Marco","family":"Sau","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7431-7344","authenticated-orcid":false,"given":"Marco","family":"Tocco","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,2,17]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Abu-Rasheed, H., Abdulsalam, M.H., Weber, C., Fathi, M.: Supporting student decisions on learning recommendations: an LLM-based chatbot with knowledge graph contextualization for conversational explainability and mentoring. arXiv preprint arXiv:2401.08517 (2024)","DOI":"10.35542\/osf.io\/ervym"},{"key":"12_CR2","doi-asserted-by":"publisher","unstructured":"Afreen, N., et al.: Edge: a conversational interface driven by large language models for educational knowledge graphs exploration. In: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, pp. 5159\u20135163. Association for Computing Machinery, New York, NY, USA (2024). https:\/\/doi.org\/10.1145\/3627673.3679231","DOI":"10.1145\/3627673.3679231"},{"key":"12_CR3","doi-asserted-by":"publisher","unstructured":"Afreen, N., et al.: Learner-centered ontology for explainable educational recommendation. In: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, UMAP Adjunct 2024, pp. 567\u2013575. Association for Computing Machinery, New York, NY, USA (2024). https:\/\/doi.org\/10.1145\/3631700.3665226","DOI":"10.1145\/3631700.3665226"},{"key":"12_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.caeai.2024.100215","volume":"6","author":"R Alfredo","year":"2024","unstructured":"Alfredo, R., et al.: Human-centred learning analytics and AI in education: a systematic literature review. Comput. Educ. Artif. Intell. 6, 100215 (2024). https:\/\/doi.org\/10.1016\/j.caeai.2024.100215","journal-title":"Comput. Educ. Artif. Intell."},{"key":"12_CR5","unstructured":"Bordes, A., Usunier, N., Chopra, S., Weston, J.: Large-scale simple question answering with memory networks. arXiv preprint arXiv:1506.02075 (2015)"},{"key":"12_CR6","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"1386","DOI":"10.1007\/978-3-319-77712-2_133","volume-title":"Trends and Advances in Information Systems and Technologies","author":"D Dess\u00ec","year":"2018","unstructured":"Dess\u00ec, D., Fenu, G., Marras, M., Reforgiato Recupero, D.: COCO: semantic-enriched collection of online courses at scale with experimental use cases. In: Rocha, \u00c1., Adeli, H., Reis, L.P., Costanzo, S. (eds.) WorldCIST 2018. AISC, vol. 746, pp. 1386\u20131396. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-77712-2_133"},{"key":"12_CR7","doi-asserted-by":"publisher","unstructured":"Hong, Z., et al.: Next-generation database interfaces: a survey of LLM-based text-to-SQL. IEEE Trans. Knowl. Data Eng., 1\u201320 (2025). https:\/\/doi.org\/10.1109\/TKDE.2025.3609486","DOI":"10.1109\/TKDE.2025.3609486"},{"key":"12_CR8","unstructured":"Hubert, N., Brun, A., Monticolo, D.: New ontology and knowledge graph for university curriculum recommendation. In: ISWC 2022 - The 21st International Semantic Web Conference. Hangzhou \/ Virtual, China, October 2022. https:\/\/hal.science\/hal-03768154"},{"issue":"1","key":"12_CR9","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1109\/TVCG.2023.3326904","volume":"30","author":"H Li","year":"2024","unstructured":"Li, H., Appleby, G., Brumar, C.D., Chang, R., Suh, A.: Knowledge graphs in practice: characterizing their users, challenges, and visualization opportunities. IEEE Trans. Visual Comput. Graphics 30(1), 584\u2013594 (2024). https:\/\/doi.org\/10.1109\/TVCG.2023.3326904","journal-title":"IEEE Trans. Visual Comput. Graphics"},{"key":"12_CR10","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1007\/978-981-16-6471-7_22","volume-title":"Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction","author":"K Liu","year":"2021","unstructured":"Liu, K., et al.: MOOPer: a large-scale dataset of\u00a0practice-oriented online learning. In: Qin, B., Jin, Z., Wang, H., Pan, J., Liu, Y., An, B. (eds.) CCKS 2021. CCIS, vol. 1466, pp. 281\u2013287. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-16-6471-7_22"},{"key":"12_CR11","doi-asserted-by":"publisher","first-page":"80981","DOI":"10.1109\/ACCESS.2025.3567759","volume":"13","author":"I Mandilara","year":"2025","unstructured":"Mandilara, I., Androna, C.M., Fotopoulou, E., Zafeiropoulos, A., Papavassiliou, S.: Decoding the mystery: how can LLMs turn text into cypher in complex knowledge graphs? IEEE Access 13, 80981\u201381001 (2025). https:\/\/doi.org\/10.1109\/ACCESS.2025.3567759","journal-title":"IEEE Access"},{"key":"12_CR12","unstructured":"Ozsoy, M.G., Messallem, L., Besga, J., Minneci, G.: Text2Cypher: bridging natural language and graph databases (2024). https:\/\/arxiv.org\/abs\/2412.10064"},{"key":"12_CR13","doi-asserted-by":"publisher","unstructured":"Qu, K., Li, K.C., Wong, B.T.M., Wu, M.M.F., Liu, M.: A survey of knowledge graph approaches and applications in education. Electronics 13(13) (2024). https:\/\/doi.org\/10.3390\/electronics13132537","DOI":"10.3390\/electronics13132537"},{"key":"12_CR14","unstructured":"Saleem, M., Nazari\u00a0Dastjerdi, S., Usbeck, R., Ngonga\u00a0Ngomo, A.C.: Question answering over linked data: what is difficult to answer? What affects the f scores? (2017)"},{"issue":"3","key":"12_CR15","doi-asserted-by":"publisher","first-page":"3239","DOI":"10.1007\/s10639-024-12936-0","volume":"30","author":"AD Samala","year":"2025","unstructured":"Samala, A.D., et al.: Unveiling the landscape of generative artificial intelligence in education: a comprehensive taxonomy of applications, challenges, and future prospects. Educ. Inf. Technol. 30(3), 3239\u20133278 (2025)","journal-title":"Educ. Inf. Technol."},{"key":"12_CR16","doi-asserted-by":"publisher","unstructured":"Tiwari, A., Malay, S.K.R., Yadav, V., Hashemi, M., Madhusudhan, S.T.: Auto-cypher: improving LLMs on cypher generation via LLM-supervised generation-verification framework. In: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers), pp. 623\u2013640. Association for Computational Linguistics, Albuquerque, New Mexico, April 2025. https:\/\/doi.org\/10.18653\/v1\/2025.naacl-short.53","DOI":"10.18653\/v1\/2025.naacl-short.53"},{"key":"12_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1007\/978-3-319-68204-4_22","volume-title":"The Semantic Web \u2013 ISWC 2017","author":"P Trivedi","year":"2017","unstructured":"Trivedi, P., Maheshwari, G., Dubey, M., Lehmann, J.: LC-QuAD: a corpus for complex question answering over knowledge graphs. In: d\u2019Amato, C., et al. (eds.) ISWC 2017. LNCS, vol. 10588, pp. 210\u2013218. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68204-4_22"},{"key":"12_CR18","doi-asserted-by":"publisher","unstructured":"Tsampos, I., Marakakis, E.: Domain- and language-adaptable natural language interface for property graphs. Computers 14(5) (2025). https:\/\/doi.org\/10.3390\/computers14050183","DOI":"10.3390\/computers14050183"},{"key":"12_CR19","doi-asserted-by":"publisher","unstructured":"Yu, J., et al.: MOOCCube: a large-scale data repository for NLP applications in MOOCs. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 3135\u20133142. Association for Computational Linguistics, Online, July 2020. https:\/\/doi.org\/10.18653\/v1\/2020.acl-main.285","DOI":"10.18653\/v1\/2020.acl-main.285"},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Yu, T., et\u00a0al.: Spider: a large-scale human-labeled dataset for complex and cross-domain semantic parsing and Text-to-SQL task. arXiv preprint arXiv:1809.08887 (2018)","DOI":"10.18653\/v1\/D18-1425"},{"key":"12_CR21","unstructured":"Zelle, J.M., Mooney, R.J.: Learning to parse database queries using inductive logic programming. In: Proceedings of the National Conference on Artificial Intelligence, pp. 1050\u20131055 (1996)"},{"key":"12_CR22","unstructured":"Zhong, V., Xiong, C., Socher, R.: Seq2SQL: generating structured queries from natural language using reinforcement learning. arXiv preprint arXiv:1709.00103 (2017)"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence with and for Learning Sciences. Past, Present, and Future Horizons"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-17604-2_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T06:07:35Z","timestamp":1771222055000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-17604-2_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032176035","9783032176042"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-17604-2_12","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":"17 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WAILS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Workshop on Artificial Intelligence with and for Learning Sciences: Past, Present, and Future Horizons","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cagliari","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10 December 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wails2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wailsworkshop.github.io\/2025","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}