{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T23:39:13Z","timestamp":1777765153627,"version":"3.51.4"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T00:00:00Z","timestamp":1664496000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Results in Engineering"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1016\/j.rineng.2022.100680","type":"journal-article","created":{"date-parts":[[2022,10,4]],"date-time":"2022-10-04T19:50:47Z","timestamp":1664913047000},"page":"100680","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":17,"special_numbering":"C","title":["Automated conversion of engineering rules: Towards flexible manufacturing collaboration"],"prefix":"10.1016","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8483-2872","authenticated-orcid":false,"given":"Xinfeng","family":"Ye","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuqian","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sathiamoorthy","family":"Manoharan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.rineng.2022.100680_bib1","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.jmsy.2020.06.010","article-title":"Smart manufacturing process and system automation - a critical review of the standards and envisioned scenarios","volume":"56","author":"Lu","year":"2020","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.rineng.2022.100680_bib2","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.jmsy.2021.04.016","article-title":"Self-organizing manufacturing network: a paradigm towards smart manufacturing in mass personalization","volume":"60","author":"Qin","year":"2021","journal-title":"J. Manuf. Syst."},{"issue":"1","key":"10.1016\/j.rineng.2022.100680_bib3","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.rcim.2011.07.002","article-title":"From cloud computing to cloud manufacturing","volume":"28","author":"Xu","year":"2012","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"10.1016\/j.rineng.2022.100680_bib4","first-page":"1","article-title":"Cloud-based design and manufacturing: a new paradigm in digital manufacturing and design innovation","volume":"59","author":"Wu","year":"2015","journal-title":"Comput. Des."},{"key":"10.1016\/j.rineng.2022.100680_bib5","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.jmsy.2018.05.003","article-title":"Resource virtualization: a core technology for developing cyber-physical production systems","volume":"47","author":"Lu","year":"2018","journal-title":"J. Manuf. Syst."},{"issue":"4","key":"10.1016\/j.rineng.2022.100680_bib6","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1016\/j.jmsy.2014.05.003","article-title":"Development of a hybrid manufacturing cloud","volume":"33","author":"Lu","year":"2014","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.rineng.2022.100680_bib7","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.jmsy.2016.11.004","article-title":"A semantic web-based framework for service composition in a cloud manufacturing environment","volume":"42","author":"Lu","year":"2017","journal-title":"J. Manuf. Syst."},{"key":"10.1016\/j.rineng.2022.100680_bib8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1115\/1.4046333","article-title":"Automatic extraction of engineering rules from unstructured text: a natural language processing approach","volume":"20","author":"Ye","year":"2020","journal-title":"J. Comput. Inf. Sci. Eng."},{"key":"10.1016\/j.rineng.2022.100680_bib9","series-title":"Improving Language Understanding by Generative Pre-training","author":"Radford","year":"2018"},{"key":"10.1016\/j.rineng.2022.100680_bib10","doi-asserted-by":"crossref","unstructured":"C. Favi, F. Campi, M. Germani and M. Mandolini, \"Engineering knowledge formalization and proposition for informatics development towards a CAD-integrated DfX system for product design,\" Adv. Eng. Inf., vol. 51, 2022.","DOI":"10.1016\/j.aei.2022.101537"},{"issue":"7","key":"10.1016\/j.rineng.2022.100680_bib11","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1016\/j.compind.2007.12.014","article-title":"Knowledge formalization in experience feedback processes: an ontology-based approach","volume":"59","author":"Foguem","year":"2008","journal-title":"Comput. Ind."},{"key":"10.1016\/j.rineng.2022.100680_bib12","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1007\/s10845-016-1250-x","article-title":"ManuService ontology: a product data model for service-oriented business interactions in a cloud manufacturing environment","volume":"30","author":"Lu","year":"2019","journal-title":"J. Intell. Manuf."},{"key":"10.1016\/j.rineng.2022.100680_bib13","doi-asserted-by":"crossref","unstructured":"L. Guo, F. Yan, T. Li, T. Yang and Y. Lu, \"An automatic method for constructing machining process knowledge base from knowledge graph,\" Robot. Comput. Integrated Manuf., vol. 73, 2022.","DOI":"10.1016\/j.rcim.2021.102222"},{"key":"10.1016\/j.rineng.2022.100680_bib14","article-title":"Semantic-aware event link reasoning over industrial knowledge graph embedding time series data","author":"Zhou","year":"2022","journal-title":"Int. J. Prod. Res."},{"key":"10.1016\/j.rineng.2022.100680_bib15","series-title":"IEEE International Conference on Services Computing","first-page":"752","article-title":"Converting service rules to semantic rules","author":"Ye","year":"2016"},{"key":"10.1016\/j.rineng.2022.100680_bib16","series-title":"ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Boston, Massachusetts, USA","article-title":"Extraction of manufacturing rules from unstructured text using a semantic framework","author":"Kang","year":"2015"},{"issue":"2","key":"10.1016\/j.rineng.2022.100680_bib17","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1115\/1.4042104","article-title":"Ontology-based ambiguity resolution of manufacturing text for formal rule extraction","volume":"19","author":"Kang","year":"2019","journal-title":"J. Comput. Inf. Sci. Eng."},{"key":"10.1016\/j.rineng.2022.100680_bib18","series-title":"Rule Extraction from Scientific Texts: Evaluation in the Specialty of Gynecology","author":"Boufrida","year":"2020"},{"key":"10.1016\/j.rineng.2022.100680_bib20","series-title":"Deriving Semantic Validation Rules from Industrial Standards: an OPC UA Study","author":"Bareedu","year":"2022"},{"key":"10.1016\/j.rineng.2022.100680_bib21","series-title":"SPARQL 1.1 Query Language","author":"Harris","year":"2013"},{"issue":"5","key":"10.1016\/j.rineng.2022.100680_bib22","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1093\/jcde\/qwaa046","article-title":"Deep learning-based extraction of predicate-argument structure (PAS) in building design rule sentences","volume":"7","author":"Song","year":"2020","journal-title":"Journal of Computational Design and Engineering"},{"issue":"8","key":"10.1016\/j.rineng.2022.100680_bib23","doi-asserted-by":"crossref","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput."},{"issue":"20","key":"10.1016\/j.rineng.2022.100680_bib24","doi-asserted-by":"crossref","DOI":"10.3390\/app10207103","article-title":"Joint extraction of multiple relations and entities","volume":"10","author":"Li","year":"2020","journal-title":"Appl. Sci."},{"key":"10.1016\/j.rineng.2022.100680_bib25","article-title":"Semantic relation from biomedical text documents using machine learning algorithm","author":"Srinivasan","year":"2021","journal-title":"Adv. Intell. Syst. Comput."},{"key":"10.1016\/j.rineng.2022.100680_bib26","series-title":"Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing","article-title":"Semantic parsing on freebase from question-answer pairs","author":"Berant","year":"2013"},{"key":"10.1016\/j.rineng.2022.100680_bib27","series-title":"Proceedings of the Main Conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics","article-title":"Learning for semantic parsing with statistical machine translation","author":"Wong","year":"2006"},{"issue":"2","key":"10.1016\/j.rineng.2022.100680_bib28","first-page":"263","article-title":"The mathematics of statistical machine translation: parameter estimation","volume":"19","author":"Brown","year":"1993","journal-title":"Comput. Ling."},{"key":"10.1016\/j.rineng.2022.100680_bib29","series-title":"Attention Is All You Need","author":"Vaswani","year":"2017"},{"key":"10.1016\/j.rineng.2022.100680_bib30","series-title":"Conference on Empirical Methods in Natural Language Processing","article-title":"Neural versus phrase-based machine translation quality: a case study","author":"Bentivogli","year":"2016"},{"key":"10.1016\/j.rineng.2022.100680_bib31","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1515\/psicl-2019-0018","article-title":"Statistical versus neural machine translation \u2013 a case study for a medium size domain-specific bilingual corpus","volume":"55","author":"Jassem","year":"2019","journal-title":"Pozna\u0144 Stud. Contemp. Linguistics"},{"key":"10.1016\/j.rineng.2022.100680_bib32","series-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","author":"Devlin","year":"2019"},{"key":"10.1016\/j.rineng.2022.100680_bib33","series-title":"DeBERTa: Decoding-Enhanced BERT with Disentangled Attention","author":"He","year":"2020"},{"key":"10.1016\/j.rineng.2022.100680_bib34","series-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"10.1016\/j.rineng.2022.100680_bib35","series-title":"Gaussian Error Linear Units","author":"Hendrycks","year":"2016"},{"key":"10.1016\/j.rineng.2022.100680_bib36","series-title":"7th International Conference on Learning Representations, New Orleans, LA, USA","article-title":"Decoupled weight decay regularization","author":"Loshchilov","year":"2019"}],"container-title":["Results in Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2590123022003504?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2590123022003504?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T02:07:35Z","timestamp":1762913255000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2590123022003504"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":35,"alternative-id":["S2590123022003504"],"URL":"https:\/\/doi.org\/10.1016\/j.rineng.2022.100680","relation":{},"ISSN":["2590-1230"],"issn-type":[{"value":"2590-1230","type":"print"}],"subject":[],"published":{"date-parts":[[2022,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Automated conversion of engineering rules: Towards flexible manufacturing collaboration","name":"articletitle","label":"Article Title"},{"value":"Results in Engineering","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.rineng.2022.100680","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"100680"}}