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- 03/14预防小麦条锈病 陕西省农业农村厅发布提醒
- 03/14章丘区枣园街道:发展壮大特色农业产业,绘出
- 03/14“艺术+景观”颠覆传统农业……成都又一网红打
- 03/14高人气Steam沙盒游戏推荐,《ATLAS》农业发展是立
- 03/14农业重大科技成果!桑叶、蚕蛹有如此医药功效
基于可拓语义的农产品生产销售知识检索(4)
[5] 张硕望, 欧阳纯萍, 阳小华, 等.融合《知网》和搜索引擎的词汇语义相似度计算[J].计算机应用, 2017, 37(04): Shuo-wang, OU-YANG Chun-ping, YANG Xiaohua, et al.Word Semantic Similarity Computation Based on Integrating HowNet and Search Engines[J].Journal of Computer Applications, 2017, 37(04): 1056-1060.
[6] 郑志蕴, 阮春阳, 李伦, 等.本体语义相似度自适应综合加权算法研究[J].计算机科学, 2016, 43(10): Zhi-yun, RUAN Chun-yang, LI Lun, et Ontology Semantic Similarity Comprehensive Weighted Algorithm[J].Computer Science, 2016, 43(10): 242-247.
[7] 张立波, 孙一涵, 罗铁坚.一种基于大规模知识库的语义相似性计算方法[J].计算机研究与发展, 2017, 54(11): Li-bo, SUN Yi-han, LUO Semantic Similarity Based on Large Scale Knowledge Repository[J].Journal of Computer Research and Development,2017, 54(11): 2576-2585.
[8] 蔡文, 杨春燕.可拓学的基础理论与方法体系[J].科学通报, 2013, 58(13): Wen, YANG Basic Theory and Method System of Extenics[J].Chinese Science Bulletin, 2013,58(13): 1190-1199.
[9] 汪卫星.云制造资源语义描述和服务匹配策略[J].重庆大学学报, 2017, 40(05): 1-6.WANG Manufacturing Resources Semantic Description and Service Matching Strategy[J].Journal of Chongqing University, 2017, 40(05): 1-6.
[10] 盛步云, 张成雷, 卢其兵, 等.云制造服务平台供需智能匹配的研究与实现[J].计算机集成制造系统, 2015, 21(03): Bu-yun, ZHANG Chengl-ei, LU Qi-bing, et and Implementation of Cloud Manufacturing Service Platform’S Intelligent Matching for Supply and Demand[J].Computer Integrated Manufacturing Systems, 2015, 21(03):822-830.
[11] 张伟.云制造环境下制造服务匹配研究[D].江苏科技大学, on Manufacturing Services Matching in Cloud Manufacturing Environment[D].Journal of Jiangsu University of Science and Technology, 2018.
[12] 李霞, 刘承标, 章友豪, 等.基于局部和全局语义融合的跨语言句子语义相似度计算模型[J].中文信息学报, 2019,33(06): 18-26.LI Xia, LIU Cheng-biao, ZHANG You-hao, et Semantic Sentence Similarity Modeling Based on Local and Global Semantic Fusion[J].Journal of Chinese Information Processing, 2019, 33(06): 18-26.
[13] 池哲洁, 张全.基于概念基元的词语相似度计算研究[J].电子与信息学报, 2017, 39(01): Zhe-jie, ZHANG Similarity Measurement Based on Concept Primitive[J].Journal of Electronics &Information Technology, 2017, 39(01): 150-158.
[14] 牛国成, 胡贞, 胡冬梅.基于物元信息熵的生产线健康度评估及预测[J].计算机集成制造系统, 2019, 25(07): Guo-cheng, HU Zhen, HU and-Prediction of Production Line health Index Based on Matter Element Information Entropy[J].Computer Integrated Manu-Facturing Systems, 2019, 25(07): 1639-1646.
[15] 崔春生, 王梦冉, 王国成.一种基于可拓学的电子商务内容推荐算法研究[J].运筹与管理, 2018, 27(06): Chun-sheng, WANG Meng-ran, WANG on E-commerce Content-based Recommendation Based on Extension Theory[J].Operations Research and Management Science, 2018, 55(07): 1539-1547.
[16] 齐乐, 张宇, 刘挺.基于关键信息的问题相似度计算[J].计算机研究与发展, 2018, 55(07): Le, ZHANG Yu, LIU Similarity Calculation Based on Key Information[J].Journal of Computer Research and Development, 2018, 55(07): 1539-1547.
[17] 卢玲, 杨武, 杨有俊, 等.结合语义扩展和卷积神经网络的中文短文本分类方法[J].计算机应用, 2017, 37(12): Ling, YANG Wu, Yang You-jun, et Short Text Classification Method by Combining Semantic Expansion and Convolutional Neural Network[J].Journal of Computer Applications, 2017, 37(12): 3498-3503.
[18] 文家富, 郭伟, 邵宏宇.基于领域本体和CBR的案例知识检索方法[J].计算机集成制造系统, 2017, 23(07): Jia-fu, GUO Wei, SHAO Retrieve methodology Based on Domain Ontology and Case-Based Reasoning[J].Computer Integrated Manufacturing Systems,2017, 23(07): 1377-1385.
[19] Jatnika D, Bijaksana M A, Suryani A Model Analysis for Semantic Similarities in English Words[J].Procedia Computer Science, 2019, 157: 160-167.
[20] Blagec K, Xu H, Agibetov A, et Sentence Embedding Models for Semantic Similarity Estimation in the Biomedical Domain[J].BMC Bioinformatics, 2019, 20(01):178.
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