{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T22:11:57Z","timestamp":1778191917817,"version":"3.51.4"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032251589","type":"print"},{"value":"9783032251596","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\/978-3-032-25159-6_21","type":"book-chapter","created":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T14:46:32Z","timestamp":1778165192000},"page":"398-415","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["LLM-Enhanced Semantic Data Integration of\u00a0Electronic Component Qualifications in\u00a0the\u00a0Aerospace Domain"],"prefix":"10.1007","author":[{"given":"Antonio","family":"De Santis","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Balduini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matteo","family":"Belcao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrea","family":"Proia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Brambilla","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emanuele","family":"Della Valle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,8]]},"reference":[{"key":"21_CR1","unstructured":"Ecss-q-st-70-61c: High reliability assembly for surface mount and through hole connections. Tech. rep., European Cooperation for Space Standardization (ECSS) ( 2022), published 8 April 2022"},{"key":"21_CR2","unstructured":"Aggarwal, T., Salatino, A., Osborne, F., Motta, E.: Large language models for scholarly ontology generation: An extensive analysis in the engineering field (2024). https:\/\/arxiv.org\/abs\/2412.08258"},{"key":"21_CR3","unstructured":"An, Z., Ding, X., Fu, Y.C., Chu, C.C., Li, Y., Du, W.: Golden-retriever: High-fidelity agentic retrieval augmented generation for industrial knowledge base (2024). https:\/\/arxiv.org\/abs\/2408.00798"},{"key":"21_CR4","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/978-3-031-78952-6_13","volume-title":"The Semantic Web: ESWC 2024 Satellite Events","author":"S Bischof","year":"2025","unstructured":"Bischof, S., Filtz, E., Parreira, J.X., Steyskal, S.: LLM based guided generation of ontology term definitions. In: Mero\u00f1o Pe\u00f1uela, A., et al. (eds.) The Semantic Web: ESWC 2024 Satellite Events, pp. 133\u2013137. Springer Nature Switzerland, Cham (2025)"},{"key":"21_CR5","unstructured":"Bouchouras, G., Bitilis, P., Kotis, K., Vouros, G.A.: LLMs for the engineering of a parkinson disease monitoring and alerting ontology. In: GeNeSy\u201924: First International Workshop on Generative Neuro-Symbolic Artificial Intelligence, co-located with ESWC 2024. Hersonissos, Crete, Greece (2024). https:\/\/ceur-ws.org\/Vol-3749\/genesy-02.pdf"},{"key":"21_CR6","doi-asserted-by":"publisher","unstructured":"Caufield, J.H., et al.: Structured prompt interrogation and recursive extraction of semantics (spires): a method for populating knowledge bases using zero-shot learning. Bioinformatics 40(3), btae104 (02 2024). https:\/\/doi.org\/10.1093\/bioinformatics\/btae104","DOI":"10.1093\/bioinformatics\/btae104"},{"key":"21_CR7","unstructured":"Crum, E., et al.: Enriching ontologies with disjointness axioms using large language models. In: Proceedings of the 2nd Workshop on Knowledge Base Construction from Pre-Trained Language Models (KBC-LM 2024) Co-located with the 23rd International Semantic Web Conference (ISWC 2024), pp. 1\u201312 (2024). https:\/\/ceur-ws.org\/Vol-3853\/paper1.pdf"},{"key":"21_CR8","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-45563-x","author":"J Dagdelen","year":"2024","unstructured":"Dagdelen, J., et al.: Structured information extraction from scientific text with large language models. Nat. Commun. (2024). https:\/\/doi.org\/10.1038\/s41467-024-45563-x","journal-title":"Nat. Commun."},{"key":"21_CR9","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1007\/978-3-031-77847-6_17","volume-title":"The Semantic Web - ISWC 2024","author":"A de Santis","year":"2025","unstructured":"de Santis, A., et al.: Integrating large language models and knowledge graphs for extraction and validation of textual test data. In: Demartini, G., et al. (eds.) The Semantic Web - ISWC 2024, pp. 304\u2013323. Springer Nature Switzerland, Cham (2025)"},{"key":"21_CR10","unstructured":"Edge, D., et al.: From local to global: A graph rag approach to query-focused summarization (2025). https:\/\/arxiv.org\/abs\/2404.16130"},{"key":"21_CR11","doi-asserted-by":"crossref","unstructured":"Fan, Z., Chen, C.: Cupe-kg: Cultural perspective\u2013based knowledge graph construction of tourism resources via pretrained language models. Inform. Process. Manage. 61(3), 103646 (2024). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0306457324000062","DOI":"10.1016\/j.ipm.2024.103646"},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Fathallah, N., Das, A., De\u00a0Giorgis, S., Poltronieri, A., Haase, P., Kovriguina, L.: Neon-GPT: a large language model-powered pipeline for ontology learning. In: Extended Semantic Web Conference, ESWC2024. Hersonissos, Greece (2024)","DOI":"10.1007\/978-3-031-78952-6_4"},{"key":"21_CR13","unstructured":"Fathallah, N., Staab, S., Algergawy, A.: Llms4life: Large language models for ontology learning in life sciences. (2024)"},{"key":"21_CR14","doi-asserted-by":"crossref","unstructured":"Heredia \u00c1lvaro, J.A., Barreda, J.G.: An advanced retrieval-augmented generation system for manufacturing quality control. Adv. Eng. Inform. 64, 103007 (2025). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S147403462400658X","DOI":"10.1016\/j.aei.2024.103007"},{"key":"21_CR15","doi-asserted-by":"publisher","unstructured":"Kalayc\u0131, E.G., et al.: Semantic integration of Bosch manufacturing data using virtual knowledge graphs. In: Pan, J.Z., et al., (eds.) ISWC 2020. LNCS, vol. 12507, pp. 464\u2013481. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-62466-8_29","DOI":"10.1007\/978-3-030-62466-8_29"},{"key":"21_CR16","doi-asserted-by":"publisher","unstructured":"Kharlamov, E., et al.: Ontology based access to exploration data at statoil. In: Arenas, M., Corcho, O., Simperl, E., Strohmaier, M., d\u2019Aquin, M., Srinivas, K., Groth, P., Dumontier, M., Heflin, J., Thirunarayan, K., Staab, S. (eds.) ISWC 2015. LNCS, vol. 9367, pp. 93\u2013112. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-25010-6_6","DOI":"10.1007\/978-3-319-25010-6_6"},{"key":"21_CR17","doi-asserted-by":"crossref","unstructured":"Laurenzi, E., Mathys, A., Martin, A.: An LLM-aided enterprise knowledge graph (ekg) engineering process. Proc. AAAI Symposium Series 3(1), 148\u2013156 (2024)","DOI":"10.1609\/aaaiss.v3i1.31194"},{"key":"21_CR18","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. vol.\u00a033, pp. 9459\u20139474. Curran Associates, Inc. (2020)"},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Mihindukulasooriya, N., Tiwari, S., Dobriy, D., Nielsen, F.\u00c5., Chhetri, T.R., Polleres, A.: Scholarly wikidata: population and exploration of conference data in wikidata using LLMs. In: Alam, M., Rospocher, M., van Erp, M., Hollink, L., Gesese, G.A. (eds.) Knowledge Engineering and Knowledge Management, pp. 243\u2013259. Springer Nature Switzerland, Cham (2025)","DOI":"10.1007\/978-3-031-77792-9_15"},{"key":"21_CR20","unstructured":"OpenAI: Gpt-4 technical report (2024). https:\/\/arxiv.org\/abs\/2303.08774"},{"key":"21_CR21","doi-asserted-by":"crossref","unstructured":"Petersen, N., Halilaj, L., Grangel-Gonz\u00e1lez, I., Lohmann, S., Lange, C., Auer, S.: Realizing an RDF-based information model for a manufacturing company - a case study. In: d\u2019Amato, C., et al., (eds.) The Semantic Web - ISWC 2017, pp. 350\u2013366. Springer International Publishing, Cham (2017)","DOI":"10.1007\/978-3-319-68204-4_31"},{"key":"21_CR22","doi-asserted-by":"publisher","unstructured":"Rodr\u00edguez-Muro, M., Kontchakov, R., Zakharyaschev, M.: Ontology-based data access: Ontop of databases. In: Alani, H., et al., (eds.) ISWC 2013. LNCS, vol. 8218, pp. 558\u2013573. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-41335-3_35","DOI":"10.1007\/978-3-642-41335-3_35"},{"key":"21_CR23","doi-asserted-by":"crossref","unstructured":"Shimizu, C., Hitzler, P.: Accelerating knowledge graph and ontology engineering with large language models. J. Web Semantics 85, 100862 (2025)","DOI":"10.1016\/j.websem.2025.100862"},{"key":"21_CR24","doi-asserted-by":"crossref","unstructured":"Val-Calvo, M., et al.: Ontogenix: leveraging large language models for enhanced ontology engineering from datasets. Inform. Process. Manage. 62(3), 104042 (2025)","DOI":"10.1016\/j.ipm.2024.104042"},{"key":"21_CR25","doi-asserted-by":"publisher","unstructured":"Xiao, G., Ding, L., Cogrel, B., Calvanese, D.: Virtual knowledge graphs: an overview of systems and use cases. Data Intell. 1(3), 201\u2013223 (06 2019). https:\/\/doi.org\/10.1162\/dint_a_00011, https:\/\/doi.org\/10.1162\/dint_a_00011","DOI":"10.1162\/dint_a_00011"},{"key":"21_CR26","unstructured":"Ye, J., et al.: A comprehensive capability analysis of GPT-3 and GPT-3.5 series models (2023)"},{"key":"21_CR27","doi-asserted-by":"publisher","unstructured":"Yhdego, T.O., Wang, H.: Automated ontology generation for zero-shot defect identification in manufacturing. IEEE Trans. Autom. Sci. Eng. (2025). https:\/\/doi.org\/10.1109\/TASE.2025.3537463","DOI":"10.1109\/TASE.2025.3537463"},{"key":"21_CR28","doi-asserted-by":"crossref","unstructured":"Zhang, B., et al.: Ontochat: a framework for conversational ontology engineering using language models. In: Mero\u00f1o Pe\u00f1uela, A., et al. (eds.) The Semantic Web: ESWC 2024 Satellite Events, pp. 102\u2013121. Springer Nature Switzerland, Cham (2025)","DOI":"10.1007\/978-3-031-78952-6_10"}],"container-title":["Lecture Notes in Computer Science","The Semantic Web"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-25159-6_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T22:02:03Z","timestamp":1778191323000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-25159-6_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032251589","9783032251596"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-25159-6_21","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":"8 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"}}]}}