{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T12:53:56Z","timestamp":1770814436457,"version":"3.50.1"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52265063"],"award-info":[{"award-number":["52265063"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012547","name":"Natural Science Foundation of Guangxi Zhuang Autonomous Region","doi-asserted-by":"publisher","award":["2023JJA160221"],"award-info":[{"award-number":["2023JJA160221"]}],"id":[{"id":"10.13039\/100012547","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Plan of Nanning City","award":["20231034"],"award-info":[{"award-number":["20231034"]}]},{"name":"Open Fund Project of the Key Laboratory of Future Intelligent Manufacturing Technologies for High-End Equipment, Ministry of Education, Fuyao University of Science and Technology","award":["FIMFYUST-2025B03"],"award-info":[{"award-number":["FIMFYUST-2025B03"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2025.3649287","type":"journal-article","created":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T18:39:29Z","timestamp":1767033569000},"page":"18246-18271","source":"Crossref","is-referenced-by-count":0,"title":["A Knowledge Graph and Large Language Model Framework for Customized Manufacturing: A Case Study in Furniture Panel Production"],"prefix":"10.1109","volume":"14","author":[{"given":"Cunji","family":"Zhang","sequence":"first","affiliation":[{"name":"Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology, Guilin University of Electronic Technology, Guilin, Guangxi, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7576-0438","authenticated-orcid":false,"given":"Bingsheng","family":"Liu","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology, Guilin University of Electronic Technology, Guilin, Guangxi, China"}]},{"given":"Xifan","family":"Yao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Future Intelligent Manufacturing Technologies for High-End Equipment, Ministry of Education, Fuyao University of Science and Technology, Fuzhou, Fujian, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1950-3383","authenticated-orcid":false,"given":"Xuan","family":"Jing","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Manufacturing System and Advanced Manufacturing Technology, Guilin University of Electronic Technology, Guilin, Guangxi, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2021.103449"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2021.08.018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3901\/jme.2021.05.090"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2018.10.006"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-016-1250-x"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2020.101164"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2016.11.004"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2021.101248"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2723501"},{"issue":"11","key":"ref10","first-page":"2653","article-title":"Ontology-based modeling method for manufacturing knowledge and its application","volume":"24","author":"Zhao","year":"2018","journal-title":"Comput. Integr. Manuf. Syst."},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2017.1351643"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-021-06606-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2019.100959"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2017.08.001"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2021.102160"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2021.102222"},{"issue":"5","key":"ref17","first-page":"1723","article-title":"Recommendation model by integrating knowledge graph and image features","volume":"44","author":"Chen","year":"2022","journal-title":"J. Electron. Inf. Technol."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-022-08757-5"},{"key":"ref19","article-title":"Construction and application of a knowledge service graph for ship design","author":"Qing","year":"2024"},{"issue":"6","key":"ref20","first-page":"216","article-title":"Construction and application of a knowledge graph for agricultural motor fault diagnosis","volume":"41","author":"Huang","year":"2025","journal-title":"Trans. Chin. Soc. Agricult. Eng."},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/0951192X.2021.1972461"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2021.101366"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2021.101515"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3070843"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.03.014"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3724\/SP.J.1089.2010.10897"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1115\/1.4046807"},{"issue":"12","key":"ref28","first-page":"2878","article-title":"Knowledge graph representation method combined with semantic parsing","volume":"59","author":"Hu","year":"2022","journal-title":"J. Comput. Res. Develop."},{"issue":"5","key":"ref29","first-page":"1194","article-title":"Knowledge fusion method of high-speed train based on knowledge graph","volume":"59","author":"Wang","year":"2024","journal-title":"J. Southwest Jiaotong Univ."},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2018.2815009"},{"issue":"5","key":"ref31","first-page":"544","article-title":"Dynamic knowledge graph modeling method for ship block manufacturing process","volume":"55","author":"Song","year":"2021","journal-title":"J. Shanghai Jiao Tong Univ."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2021.08.002"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1080\/0951192X.2021.1891572"},{"issue":"3","key":"ref34","first-page":"879","article-title":"A method for constructing a knowledge graph of remanufacturing disassembly processes driven by dynamic data streams","volume":"30","author":"Jiang","year":"2024","journal-title":"Comput. Integr. Manuf. Syst."},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2022.103647"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.compind.2020.103377"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2021.2022803"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2022.2078748"},{"issue":"7","key":"ref39","first-page":"2646","article-title":"Knowledge graph construction method via internet-based collective intelligence","volume":"33","author":"Ji\u0101ng","year":"2022","journal-title":"Ruan Jian Xue Bao\/J. Softw."},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2021.101494"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2022.2042416"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2022.108454"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.40895"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-7224-1_26"},{"issue":"4","key":"ref45","first-page":"955","article-title":"Chinese knowledge base question answering system based on pre-trained language model","volume":"43","author":"Wang","year":"2020","journal-title":"J. Shanxi Univ. Natural Sci. Ed."},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.173"},{"key":"ref47","article-title":"P-tuning v2: Prompt tuning can be comparable to fine-tuning universally across scales and tasks","author":"Liu","year":"2021","journal-title":"arXiv:2110.07602"},{"key":"ref48","article-title":"LoRA: Low-rank adaptation of large language models","author":"Hu","year":"2021","journal-title":"arXiv:2106.09685"},{"issue":"10","key":"ref49","first-page":"2377","article-title":"Research on question answering system on joint of knowledge graph and large language models","volume":"17","author":"Zhang","year":"2023","journal-title":"J. Frontiers Comput. Sci. Technol."},{"key":"ref50","article-title":"Large language models are zero-shot reasoners","author":"Kojima","year":"2022","journal-title":"arXiv:2205.11916"},{"issue":"5","key":"ref51","first-page":"786","article-title":"The development of information retrieval in the era of large language model","volume":"37","author":"Zhao","year":"2023","journal-title":"Bull. Nat. Natural Sci. Found. China"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3352100"},{"key":"ref53","article-title":"From local to global: A graph RAG approach to query-focused summarization","author":"Edge","year":"2024","journal-title":"arXiv:2404.16130"},{"key":"ref54","first-page":"1","article-title":"Think-on-graph: Deep and responsible reasoning of large language model on knowledge graph","volume-title":"Proc. 12th Int. Conf. Learn. Represent.","author":"Sun"},{"issue":"3","key":"ref55","first-page":"6","article-title":"An analysis on the basic technologies of ChatGPT","volume":"7","author":"Li","year":"2023","journal-title":"Data Anal. Knowl. Discovery"},{"issue":"3","key":"ref56","first-page":"267","article-title":"Exploring the capabilities of the ChatGPT model: Prospects and challenges in industrial applications","volume":"70","author":"Huang","year":"2024","journal-title":"J. Wuhan Univ. Natural Sci. Ed."},{"key":"ref57","article-title":"How can we know what language models know?","author":"Jiang","year":"2019","journal-title":"arXiv:1911.12543"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11317993.pdf?arnumber=11317993","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T21:06:01Z","timestamp":1770757561000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11317993\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":57,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3649287","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}