{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T21:40:18Z","timestamp":1757626818042,"version":"3.44.0"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783032043535"},{"type":"electronic","value":"9783032043542"}],"license":[{"start":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T00:00:00Z","timestamp":1756857600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T00:00:00Z","timestamp":1756857600000},"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\/978-3-032-04354-2_6","type":"book-chapter","created":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T22:07:04Z","timestamp":1756850824000},"page":"74-86","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Taxonomy Generation for\u00a0Scientific Concepts Using Large Language Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6298-8900","authenticated-orcid":false,"given":"Yue","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4896-3211","authenticated-orcid":false,"given":"Zi Long","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-4747-104X","authenticated-orcid":false,"given":"Artemis","family":"Capari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0841-7516","authenticated-orcid":false,"given":"Hosein","family":"Azarbonyad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7812-2399","authenticated-orcid":false,"given":"Zubair","family":"Afzal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2116-2933","authenticated-orcid":false,"given":"George","family":"Tsatsaronis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,3]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Aalijah, K., Irfan, R.: Scalable taxonomy generation and evolution on apache spark. In: International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress (DASC\/PiCom\/CBDCom\/CyberSciTech), pp. 634\u2013639 (2020)","key":"6_CR1","DOI":"10.1109\/DASC-PICom-CBDCom-CyberSciTech49142.2020.00110"},{"issue":"1","key":"6_CR2","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1186\/s12909-023-04698-z","volume":"23","author":"SA Alowais","year":"2023","unstructured":"Alowais, S.A., et al.: Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Med. Educ. 23(1), 689 (2023)","journal-title":"BMC Med. Educ."},{"doi-asserted-by":"crossref","unstructured":"Azarbonyad, H., Afzal, Z., Tsatsaronis, G.: Generating topic pages for scientific concepts using scientific publications. In: ECIR, pp. 341\u2013349 (2023)","key":"6_CR3","DOI":"10.1007\/978-3-031-28238-6_23"},{"key":"6_CR4","doi-asserted-by":"publisher","first-page":"1850010","DOI":"10.1142\/S0219649218500107","volume":"17","author":"K Bagherifard","year":"2018","unstructured":"Bagherifard, K., Rahmani, M., Rafe, V., Nilashi, M.: A recommendation method based on semantic similarity and complementarity using weighted taxonomy: a case on construction materials dataset. J. Inf. Knowl. Manag. 17, 1850010 (2018)","journal-title":"J. Inf. Knowl. Manag."},{"unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993\u20131022 (2003)","key":"6_CR5"},{"key":"6_CR6","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1162\/tacl_a_00051","volume":"5","author":"P Bojanowski","year":"2017","unstructured":"Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. Trans. Assoc. Comput. Linguist. 5, 135\u2013146 (2017)","journal-title":"Trans. Assoc. Comput. Linguist."},{"unstructured":"Bottou, L., Bengio, Y.: Convergence properties of the k-means algorithms. Adv. Neural Inf. Process. Syst. 7 (1994)","key":"6_CR7"},{"doi-asserted-by":"crossref","unstructured":"Capari, A., Azarbonyad, H., Tsatsaronis, G., Afzal, Z., Dunham, J.: Sciencedirect topic pages: a knowledge base of scientific concepts across various science domains. In: SIGIR, pp. 2976\u20132980 (2024)","key":"6_CR8","DOI":"10.1145\/3626772.3661353"},{"doi-asserted-by":"crossref","unstructured":"Capari, A., et al.: Knowledge acquisition passage retrieval: corpus, ranking models, and evaluation resources. In: CLEF, pp. 74\u201387 (2024)","key":"6_CR9","DOI":"10.1007\/978-3-031-71736-9_3"},{"doi-asserted-by":"crossref","unstructured":"Chen, B., Yi, F., Varr\u00f3, D.: Prompting or fine-tuning? a comparative study of large language models for taxonomy construction. In: MODELS-C, pp. 588\u2013596 (2023)","key":"6_CR10","DOI":"10.1109\/MODELS-C59198.2023.00097"},{"doi-asserted-by":"crossref","unstructured":"Ding, B., et al.: Data augmentation using LLMs: data perspectives, learning paradigms and challenges. In: ACL, pp. 1679\u20131705 (2024)","key":"6_CR11","DOI":"10.18653\/v1\/2024.findings-acl.97"},{"key":"6_CR12","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.patrec.2023.02.005","volume":"167","author":"P Fr\u00e4nti","year":"2023","unstructured":"Fr\u00e4nti, P., Mariescu-Istodor, R.: Soft precision and recall. Pattern Recogn. Lett. 167, 115\u2013121 (2023)","journal-title":"Pattern Recogn. Lett."},{"unstructured":"Grootendorst, M.: KeyBERT: Minimal keyword extraction with BERT (2020). https:\/\/doi.org\/10.5281\/zenodo.4461265","key":"6_CR13"},{"issue":"9","key":"6_CR14","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1007\/BF01350822","volume":"13","author":"SH Hsu","year":"1997","unstructured":"Hsu, S.H., Hsia, T.C., Wu, M.C.: A flexible classification method for evaluating the utility of automated workpiece classification system. Int. J. Adv. Manufact. Technol. 13(9), 637\u2013648 (1997)","journal-title":"Int. J. Adv. Manufact. Technol."},{"issue":"1","key":"6_CR15","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/s10044-020-00918-0","volume":"24","author":"S Iloga","year":"2021","unstructured":"Iloga, S., Romain, O., Tchuent\u00e9, M.: An efficient generic approach for automatic taxonomy generation using HMMs. Pattern Anal. Appl. 24(1), 243\u2013262 (2021)","journal-title":"Pattern Anal. Appl."},{"unstructured":"Ji, S., Ye, J.: Linear dimensionality reduction for multi-label classification. In: IJCAI, pp. 1077\u20131082. Morgan Kaufmann Publishers Inc. (2009)","key":"6_CR16"},{"unstructured":"Krippendorff, K.: Computing krippendorff\u2019s alpha-reliability (2011)","key":"6_CR17"},{"doi-asserted-by":"crossref","unstructured":"Lamparter, S., Ehrig, M., Tempich, C.: Knowledge extraction from classification schemas. In: CoopIS, DOA, and ODBASE, pp. 618\u2013636 (2004)","key":"6_CR18","DOI":"10.1007\/978-3-540-30468-5_40"},{"doi-asserted-by":"crossref","unstructured":"Lee, D., Shen, J., Kang, S., Yoon, S., Han, J., Yu, H.: TaxoCom: topic taxonomy completion with hierarchical discovery of novel topic clusters. In: WWW, pp. 2819\u20132829 (2022)","key":"6_CR19","DOI":"10.1145\/3485447.3512002"},{"doi-asserted-by":"crossref","unstructured":"Lee, D., Shen, J., Lee, S., Yoon, S., Yu, H., Han, J.: Topic taxonomy expansion via hierarchy-aware topic phrase generation. In: EMNLP, pp. 1687\u20131700 (2022)","key":"6_CR20","DOI":"10.18653\/v1\/2022.findings-emnlp.122"},{"doi-asserted-by":"crossref","unstructured":"Li, T., Anand, S.S.: Exploiting domain knowledge by automated taxonomy generation in recommender systems. In: EC-WEB, pp. 120\u2013131 (2009)","key":"6_CR21","DOI":"10.1007\/978-3-642-03964-5_12"},{"doi-asserted-by":"crossref","unstructured":"Li, X., et al.: Inducing taxonomy from tags: an agglomerative hierarchical clustering framework. In: ADMA, pp. 64\u201377 (2012)","key":"6_CR22","DOI":"10.1007\/978-3-642-35527-1_6"},{"doi-asserted-by":"crossref","unstructured":"Malais\u00e9, V., Otten, A., Coupet, P.: Omniscience and extensions\u2013lessons learned from designing a multi-domain, multi-use case knowledge representation system. In: EKAW, pp. 228\u2013242 (2018)","key":"6_CR23","DOI":"10.1007\/978-3-030-03667-6_15"},{"issue":"29","key":"6_CR24","doi-asserted-by":"publisher","first-page":"861","DOI":"10.21105\/joss.00861","volume":"3","author":"L McInnes","year":"2018","unstructured":"McInnes, L., Healy, J., Saul, N., Gro\u00dfberger, L.: UMAP: uniform manifold approximation and projection. J. Open Source Softw. 3(29), 861 (2018)","journal-title":"J. Open Source Softw."},{"issue":"8","key":"6_CR25","first-page":"9","volume":"1","author":"A Radford","year":"2019","unstructured":"Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I., et al.: Language models are unsupervised multitask learners. OpenAI Blog 1(8), 9 (2019)","journal-title":"OpenAI Blog"},{"doi-asserted-by":"crossref","unstructured":"Shah, C., et al.: Using large language models to generate, validate, and apply user intent taxonomies. ACM Trans. Web (2025). just Accepted","key":"6_CR26","DOI":"10.1145\/3732294"},{"doi-asserted-by":"crossref","unstructured":"Shang, J., Zhang, X., Liu, L., Li, S., Han, J.: NetTaxo: automated topic taxonomy construction from text-rich network. In: WWW, pp. 1908\u20131919 (2020)","key":"6_CR27","DOI":"10.1145\/3366423.3380259"},{"unstructured":"Treeratpituk, P., Khabsa, M., Giles, C.L.: Graph-based approach to automatic taxonomy generation (GraBTax). arXiv preprint arXiv:1307.1718 (2013)","key":"6_CR28"},{"issue":"1","key":"6_CR29","first-page":"131","volume":"1","author":"Y Wang","year":"2023","unstructured":"Wang, Y., Qian, W., Zhou, H., Chen, J., Tan, K.: Exploring new frontiers of deep learning in legal practice: a case study of large language models. Int. J. Comput. Sci. Inf. Technol. 1(1), 131\u2013138 (2023)","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"doi-asserted-by":"crossref","unstructured":"Weng, M.H., Wu, S., Dyer, M.: Identification and visualization of key topics in scientific publications with transformer-based language models and document clustering methods. Appl. Sci. 12(21) (2022)","key":"6_CR30","DOI":"10.3390\/app122111220"},{"doi-asserted-by":"crossref","unstructured":"Zhang, Y., Yang, R., Xu, X., Li, R., Xiao, J., Shen, J., Han, J.: TELEClass: taxonomy enrichment and LLM-enhanced hierarchical text classification with minimal supervision. In: The Web Conference, pp. 2032\u20132042 (2025)","key":"6_CR31","DOI":"10.1145\/3696410.3714940"}],"container-title":["Lecture Notes in Computer Science","Experimental IR Meets Multilinguality, Multimodality, and Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-04354-2_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T23:26:45Z","timestamp":1757460405000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-04354-2_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,3]]},"ISBN":["9783032043535","9783032043542"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-04354-2_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,9,3]]},"assertion":[{"value":"3 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CLEF","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference of the Cross-Language Evaluation Forum for European Languages","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Madrid","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"9 September 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 September 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"clef2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/clef2025.clef-initiative.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}