[1] 周济. 智能制造——“中国制造2025”的主攻方向[J]. 中国机械工程, 2015, 26(17): 2273-2284.
ZHOU J. Smart manufacturing—the main direction of “Made in China 2025”[J]. China Mechanical Engineering, 2015, 26(17): 2273-2284.
[2] LUO K, LIN F, LUO X, et al. Knowledge base question answering via encoding of complex query graphs[C]//Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31-November 4, 2018. PA: Association for Computational Linguistics, 2018: 2185-2194.
[3] BAI T, GE Y, GUO S Y, et al. Enhanced natural language interface for web-based information retrieval[J]. IEEE Access, 2020, 9: 4233-4241.
[4] STUDER R, BENJAMINS V R, FENSEL D. Knowledge engineering: principles and methods[J]. Data & Knowledge Engineering, 2008, 25(1/2): 161-197.
[5] 尚新丽. 国外本体构建方法比较分析[J]. 图书情报工作, 2012, 56: 116-119.
SHANG X L. Comparative analysis of foreign ontology construction methods[J]. Library and Information Service, 2012, 56: 116-119.
[6] 郑姝雅, 黄奇, 张戈, 等. 面向用户生成内容的本体构建方法[J]. 情报科学, 2019, 37(11): 43-47.
ZHENG S Y, HUANG Q, ZHANG G, et al. A ontology construction method for user generated content[J]. Information Science, 2019, 37(11): 43-47.
[7] 唐琳, 郭崇慧, 陈静锋, 等. 基于中文学术文献的领域本体概念层次关系抽取研究[J]. 情报学报, 2020, 39(4): 387-398.
TANG L, GUO C H, CHEN J F, et al. Learning concept hierarchies from chinese academic literature for domain ontology construction[J]. Journal of the China Society for Scientific and Technical Information, 2020, 39(4): 387-398.
[8] 柳少峰, 肖红, 黄子豪, 等. 工业机器人预测式健康管理本体半自动化构建[J]. 组合机床与自动化加工技术, 2022, 575(1) : 29-33.
LIU S F, XIAO H, HUANG Z H, et al. Semi-automatic construction of predictive health management ontology for industrial robots[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2022, 575(1) : 29-33.
[9] 田玲, 张谨川, 张晋豪, 等. 知识图谱综述——表示、构建、推理与知识超图理论[J]. 计算机应用, 2021, 41(8): 2161-2186.
TIAN L, ZHANG J C, ZHANG J H, et al. Knowledge graph survey: representation, construction, reasoning and knowledge hypergraph theory[J]. Journal of Computer Applications, 2021, 41(8): 2161-2186.
[10] WEI Z, SU J, WANG Y, et al. A novel cascade binary tagging framework for relational triple extraction[C]//Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. PA: Association for Computational Linguistics, 2020 : 1476-1488.
[11] LI X, LI Y W, YANG J N, et al. A relation aware embedding mechanism for relation extraction[J]. Applied Intelligence, 2022, 52 (9): 10022-10031.
[12] ZHONG Z, CHEN D Q. A frustratingly easy approach for entity and relation extraction[C]//Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. PA: Association for Computational Linguistics, 2021: 50-61.
[13] TANG R, CHEN Y, QIN Y, et al. Boundary assembling method for joint entity and relation extraction[J]. Knowledge-Based Systems, 2022, 250: 109129.
[14] 李宏宇, 段利国, 候晨蕾, 等. 基于cwhc-Am的实体及关系联合抽取方法[J]. 中文信息学报, 2022, 36(11): 79-90.
LI H Y, DUAN L G, HOU C L, et al. Joint extraction of entities and relations based on CWHC-AM[J]. Journal of Chinese Information Processing, 2022, 36(11): 79-90.
[15] FEI H, REN Y F, JI D H. Boundaries and edges rethinking: an end-to-end neural model for overlapping entity relation extraction[J]. Information Processing & Management, 2020, 57(6): 12.
[16] NOY N F, MCGUINNESS D L. Ontology development 101: a guide to creating your first ontology, SMI-2001-0880[R]. USA: Standford University, 2001.
[17] 梁志宇, 王宏志, 李建中, 等. 制造业中的大数据分析技术应用研究综述[J]. 机械, 2018, 45(6): 1-13.
LIANG Z Y, WANG H Z, LI J Z, et al. A review on the application of big data analysis in manufacturing industry[J]. Machinery, 2018, 45(6): 1-13.
[18] 刘艺, 欧培培, 魏磊, 等. 工业大数据处理技术在汽车制造中的应用[J]. 内燃机与配件, 2022, 369(21) : 70-72.
LIU Y, OU P P, WEI L, et al. Application of industrial big data processing technology in automobile manufacturing[J]. Internal Combustion Engine & Parts, 2022, 369(21) : 70-72.
[19] CHE W, FENG Y, QIN L, et al. N-LTP: an open-source neural language technology platform for Chinese[C]//Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. Stroudsburg, PA: Association for Computational Linguistics, 2021: 42-49.
[20] QI F, YANG C, LIU Z Y, et al. OpenHowNet: an open sememe-based lexical knowledge base[J]. arXiv:1901. 09957, 2019.
[21] EBERTS M, ULGES A. Span-based joint entity and relation extraction with transformer pre-training[EB/OL]. (2019-09-17)[2023-03-06]. https://arxiv.org/pdf/1909.07755. pdf. |