数字农科院2.0

Automatic semantic modeling of structured data sources with cross-modal retrieval

文献类型： 外文期刊

作者： Xu R.;Mayer W.;Chu H.;Zhang Y.;Zhang H.-Y.;Wang Y.;Liu Y.;Feng Z.

作者机构：

关键词： Attention mechanism;Cross-modal retrieval;Graph representation learning;Ontology;Semantic model

期刊名称： Pattern Recognition Letters

ISSN： 0167-8655

年卷期： 2024 年 177 卷

页码：

收录情况： SCIE（2024版） ; ; EI（2024版）

摘要： Analyzing and modeling the implicit semantic relationships in data sources is the key to achieving integration and sharing of heterogeneous data information. However, manual modeling of data semantics is a laborious and error-prone task that demands significant human effort and expertise. The paper proposes a novel explainable representation learning-based method that adopts an attention-based table-graph cross-modal retrieval model as a rating function during incremental search for automatic semantic modeling. Our supervised model utilizes the graph representation learning technique to extract latent semantics from data and aims to retrieve the most reliable semantic model for structured data sources. Experimental results demonstrate the effectiveness and robustness of our method. © 2023 Elsevier B.V.

分类号：

  • 相关文献

[1]Ontology在图书情报学领域中的应用. 常春. 2005

[2]本体论与农业知识组织. 钱平,苏晓路,崔运鹏. 2007

[3]大型 Ontology构建工具 KAON的使用和评价. 常春. 2004

[4]中国农业本体服务的初步研究. 钱平,孟宪学,郑业鲁,王众,李泽. 2009

[5]构建基于Ontology的知识门户. 李景,钱平,苏晓鹭. 2004

[6]个性化推荐系统中的用户模型问题. 宋媛媛,孙坦. 2004

[7]Category correlations embedded semantic centers hashing for cross-modal retrieval. Wentao Fan,Chenwen Yang,Kaiyi Luo,Min Zhang,Huaxiong Li. 2024

[8]Whole Semantic Sparse Coding Network for Remote Sensing Image-Text Retrieval. Zheng, Chengyu,Wen, Qi,Li, Xiu,Yang, Chenxue,Nie, Jie,Guo, Yiyun,Qian, Yuntao,Wei, Zhiqiang. 2025

[9]Review of Ontology Mapping Representation Mechanism. Liu, Jiae,Zhang, Xuefu,Sun, Wei. 2011

[10]Ontology-based agricultural knowledge acquisition and application. Xie, Nengfu,Wang, Wensheng,Yang, Yong. 2008

[11]Rule-Based Agricultural Knowledge Fusion in Web Information Integration. Xie Nengfu.

[12]Study of Ontology-Based Swine Diagnosis Technology. Cui Yun-peng,Su Xiao-lu,Liu Shi-hong. 2012

[13]A Dairy Industry Information Cooperative Service System Based on a Production Process Ontology. Xu Yong,Niu Fang-qui,Wang Zhi-qiang,Bergmann, Luke,Wang Jian. 2012

[14]Identification of Pine Wilt Disease Infected Wood Using UAV RGB Imagery and Improved YOLOv5 Models Integrated with Attention Mechanisms. Peng Zhang,Zhichao Wang,Yuan Rao,Jun Zheng,Ning Zhang,Degao Wang,Jianqiao Zhu,Yifan Fang,Xiang Gao. 2023

[15]Noise-tolerant RGB-D feature fusion network for outdoor fruit detection. Qixin Sun,Xiujuan Chai,Zhikang Zeng,Guomin Zhou,Tan Sun. 2022

[16]An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease. Jiangtao Qi,Xiangnan Liu,Kai Liu,Farong Xu,Hui Guo,Xinliang Tian,Mao Li,Zhiyuan Bao,Yang Li. 2022

[17]A lightweight tea bud detection model based on Yolov5. Gui, Zhiyong,Chen, Jianneng,Li, Yang,Chen, Zhiwei,Wu, Chuanyu,Dong, Chunwang. 2023

[18]Identification method of vegetable diseases based on transfer learning and attention mechanism. Xue Zhao,Kaiyu Li,Yunxia Li,Juncheng Ma,Lingxian Zhang. 2022

[19]Attention-optimized DeepLab V3+for automatic estimation of cucumber disease severity. Li, Kaiyu,Zhang, Lingxian,Li, Bo,Li, Shufei,Ma, Juncheng. 2022

[20]Automatic rape flower cluster counting method based on low-cost labelling and UAV-RGB images. Jie Li,Enguo Wang,Jiangwei Qiao,Yi Li,Li Li,Jian Yao,Guisheng Liao. 2023

作者其他论文 更多>>