{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T07:29:53Z","timestamp":1766388593585,"version":"3.48.0"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032131089","type":"print"},{"value":"9783032131096","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T00:00:00Z","timestamp":1766448000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T00:00:00Z","timestamp":1766448000000},"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\/978-3-032-13109-6_10","type":"book-chapter","created":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T07:27:25Z","timestamp":1766388445000},"page":"137-145","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research Directions for Ontology-Guided Domain-Specific Knowledge Graph Population Using LLMs"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-1735-2377","authenticated-orcid":false,"given":"Anmol","family":"Saini","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2287-1198","authenticated-orcid":false,"given":"Chris Davis","family":"Jaldi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7987-4058","authenticated-orcid":false,"given":"Jeffrey","family":"Ethier","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4283-8701","authenticated-orcid":false,"given":"Cogan","family":"Shimizu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,12,23]]},"reference":[{"key":"10_CR1","unstructured":"NanoMine: an Online Platform of Materials Genome Prediction for Polymer Nanocomposites, https:\/\/brinsonlab.pratt.duke.edu\/research\/mgp\/Nanomine"},{"key":"10_CR2","doi-asserted-by":"publisher","unstructured":"Anderson, E., Fritz, J., Lee, A., et\u00a0al.: The design of an LLM-powered unstructured analytics system (2024). https:\/\/doi.org\/10.48550\/arXiv.2409.00847, arXiv:2409.00847 [cs] version: 2","DOI":"10.48550\/arXiv.2409.00847"},{"issue":"1","key":"10_CR3","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1177\/15705838251334528","volume":"20","author":"S Ayad","year":"2025","unstructured":"Ayad, S., Chibout, L.K.: Ontology population with large language models (LLMS): a case study on asbestos ontology. Appl. Ontol. 20(1), 89\u2013106 (2025). https:\/\/doi.org\/10.1177\/15705838251334528","journal-title":"Appl. Ontol."},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"Banerjee, S., Agarwal, A., Singla, S.: Llms will always hallucinate, and we need to live with this. arXiv preprint arXiv:2409.05746 (2024)","DOI":"10.1007\/978-3-031-99965-9_39"},{"issue":"1","key":"10_CR5","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1038\/s43246-024-00708-9","volume":"5","author":"S Gupta","year":"2024","unstructured":"Gupta, S., Mahmood, A., Shetty, P., et al.: Data extraction from polymer literature using large language models. Commun. Mater. 5(1), 269 (2024). https:\/\/doi.org\/10.1038\/s43246-024-00708-9","journal-title":"Commun. Mater."},{"issue":"2","key":"10_CR6","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1145\/3397512","volume":"64","author":"P Hitzler","year":"2021","unstructured":"Hitzler, P.: A review of the semantic web field. Commun. ACM 64(2), 76\u201383 (2021)","journal-title":"Commun. ACM"},{"key":"10_CR7","doi-asserted-by":"crossref","unstructured":"Hitzler, P., Sarker, M.K.: Neuro-symbolic artificial intelligence: the state of the art (2022)","DOI":"10.3233\/FAIA342"},{"key":"10_CR8","doi-asserted-by":"publisher","unstructured":"Hogan, A., et\u00a0al.: Knowledge graphs. ACM Comput. Surv. 54(4), 71:1\u201371:37 (2022). https:\/\/doi.org\/10.1145\/3447772","DOI":"10.1145\/3447772"},{"key":"10_CR9","unstructured":"Jaldi, C.D., Saini, A., Ghiasi, E., et\u00a0al.: Knowledge conceptualization impacts rag efficacy. arXiv preprint arXiv:2507.09389 (2025)"},{"key":"10_CR10","first-page":"9459","volume":"33","author":"P Lewis","year":"2020","unstructured":"Lewis, P., Perez, E., Piktus, A., et al.: Retrieval-augmented generation for knowledge-intensive nlp tasks. Adv. Neural. Inf. Process. Syst. 33, 9459\u20139474 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"10_CR11","unstructured":"Meyer, L.P., Frey, J., Brei, F., Arndt, N.: Assessing sparql capabilities of large language models. arXiv preprint arXiv:2409.05925 (2024)"},{"key":"10_CR12","doi-asserted-by":"crossref","unstructured":"Norouzi, S.S., Barua, A., Christou, A., et\u00a0al.: Ontology population using llms. In: Handbook on Neurosymbolic AI and Knowledge Graphs, pp. 421\u2013438. IOS Press (2025)","DOI":"10.3233\/FAIA250217"},{"key":"10_CR13","doi-asserted-by":"publisher","unstructured":"Onozuka, S., Ohnishi, T.: Analysis of LLMs for RDF Triple Generation: Semantic and Syntactic Evaluation Using WebNLG. pp. 136\u2013143. IEEE Computer Society (2025). https:\/\/doi.org\/10.1109\/ICSC64641.2025.00025","DOI":"10.1109\/ICSC64641.2025.00025"},{"key":"10_CR14","unstructured":"Ozsoy, M.G., Messallem, L., Besga, J., Minneci, G.: Text2cypher: Bridging natural language and graph databases. arXiv preprint arXiv:2412.10064 (2024)"},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Saetia, C., Phruetthiset, J., Chalothorn, T., et\u00a0al.: Financial product ontology population with large language models. In: Ustalov, D., Gao, Y., Panchenko, A., et al. (eds.) Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing. pp. 53\u201360. Association for Computational Linguistics, Bangkok, Thailand (2024)","DOI":"10.18653\/v1\/2024.textgraphs-1.4"},{"key":"10_CR16","doi-asserted-by":"publisher","unstructured":"Sahbi, A., Alec, C., Beust, P.: Semantic vs. llm-based approach: a case study of konpote vs. claude for ontology population from french advertisements. Data Knowl. Eng. 156, 102392 (2025). https:\/\/doi.org\/10.1016\/j.datak.2024.102392","DOI":"10.1016\/j.datak.2024.102392"},{"key":"10_CR17","unstructured":"Schroeder, N.L., Jaldi, C.D., Zhang, S.: Large language models with human-in-the-loop validation for systematic review data extraction. arXiv preprint arXiv:2501.11840 (2025)"},{"key":"10_CR18","doi-asserted-by":"publisher","unstructured":"Shetty, P., Rajan, A.C., Kuenneth, C., et\u00a0al.: A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing. NPJ. Comput. Mater. 9(1), 52 (2023). https:\/\/doi.org\/10.1038\/s41524-023-01003-w","DOI":"10.1038\/s41524-023-01003-w"},{"key":"10_CR19","doi-asserted-by":"publisher","unstructured":"Shimizu, C., Hitzler, P.: Accelerating knowledge graph and ontology engineering with large language models (2024). https:\/\/doi.org\/10.48550\/arXiv.2411.09601, arXiv:2411.09601 [cs]","DOI":"10.48550\/arXiv.2411.09601"},{"key":"10_CR20","doi-asserted-by":"crossref","unstructured":"Soman, K., Rose, P.W., Morris, J.H., et\u00a0al.: Biomedical knowledge graph-optimized prompt generation for large language models. Bioinformatics 40(9), btae560 (2024)","DOI":"10.1093\/bioinformatics\/btae560"},{"key":"10_CR21","doi-asserted-by":"publisher","unstructured":"Walsh, D., Zou, W., Schneider, L., Mello, R., Deagen, M., Mysona, J., Lin, T.S., De\u00a0Pablo, J., Jensen, K., Audus, D., Olsen, B.: CRIPT: a scalable polymer material data structure (2022). https:\/\/doi.org\/10.26434\/chemrxiv-2022-xpz37","DOI":"10.26434\/chemrxiv-2022-xpz37"}],"container-title":["Lecture Notes in Computer Science","Knowledge Graphs and Semantic Web"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-13109-6_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T07:27:30Z","timestamp":1766388450000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-13109-6_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,23]]},"ISBN":["9783032131089","9783032131096"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-13109-6_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,23]]},"assertion":[{"value":"23 December 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KGSWC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Knowledge Graph and Semantic Web Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Leipzig","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","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":"26 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"kgswc2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/kgsw.org\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}