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Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction

Frontiers of Engineering Management 2024, Volume 11, Issue 1,   Pages 143-158 doi: 10.1007/s42524-023-0273-1

Abstract: In this work, we present a framework for knowledge graph construction in the industrial domain, predicatedFor relation extraction, this paper introduces the knowledge-enhanced graph inference (KEGI) network,integrates knowledge representation into both node construction and path inference through TransR.On the application stratum, BiLSTM-CRF and KEGI are utilized to craft a knowledge graph from a knowledgeThe quality of the extracted knowledge graph complies with the requirements of real-world production

Keywords： knowledge graph construction     industrial     BiLSTM-CRF     document-level relation extraction     graph inference    

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A Practical Approach to Constructing a Knowledge Graph for Cybersecurity Article

Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li

Engineering 2018, Volume 4, Issue 1,   Pages 53-60 doi: 10.1016/j.eng.2018.01.004

Abstract: Research on knowledge graphs is becoming increasingly mature in many fields.At present, it is very significant that certain scholars have combined the concept of the knowledge graphwith cybersecurity in order to construct a cybersecurity knowledge base.This paper presents a cybersecurity knowledge base and deduction rules based on a quintuple model.Using machine learning, we extract entities and build ontology to obtain a cybersecurity knowledge base

Keywords： Cybersecurity     Knowledge graph     Knowledge deduction    

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QUANTITATIVE STUDY ON ANTI-PEST ACTIVITY OF NATURAL PRODUCTS BASED ON VISUALIZATION FRAMEWORK OF KNOWLEDGEGRAPH

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 2,   Pages 306-332 doi: 10.15302/J-FASE-2023488

Abstract:

● Using visual analysis to predict the trend of natural product pest resistance.

Keywords： anti-pest activity     crop protection     insect pest     natural product     visual analysis    

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Technologies and Applications of Big Data Knowledge Engineering for Smart Taxation Systems

Zheng Qinghua , Shi Bin , Dong Bo

Strategic Study of CAE 2023, Volume 25, Issue 2,   Pages 221-231 doi: 10.15302/J-SSCAE-2023.07.005

Abstract: status and challenges facing China’s intelligent taxation field, we proposed a big data knowledgeengineering approach that emphasizes data knowledgeization, knowledge systematization, and knowledgereasonability, and developed a five-layer technical architecture that consists of knowledge sources,knowledge extraction, knowledge mapping, knowledge reasoning, and application layers.After elaborating the representative application scenarios including knowledge-driven tax preference

Keywords： smart taxation     knowledge engineering     big data     knowledge graph     knowledge reasoning    

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A knowledge-guided and traditional Chinese medicine informed approach for herb recommendation Research Article

Zhe JIN, Yin ZHANG, Jiaxu MIAO, Yi YANG, Yueting ZHUANG, Yunhe PAN,11521043@zju.edu.cn,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 10,   Pages 1416-1429 doi: 10.1631/FITEE.2200662

Abstract: Most existing models disregard TCM domain knowledge, for example, the interactions between symptomsIn this paper, we propose a knowledge-guided and TCM-informed approach for .The knowledge used includes path interactions and co-occurrence relationships among symptoms and herbsThe aforementioned knowledge is used to obtain the discriminative feature vectors of symptoms and herbs

Keywords： Traditional Chinese medicine     Herb recommendation     Knowledge graph     Graph attention network    

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An Intelligent Quality Control Method for Manufacturing Processes Based on a Human–Cyber–Physical KnowledgeGraph Article

Shilong Wang, Jinhan Yang, Bo Yang, Dong Li, Ling Kang

Engineering 2024, Volume 41, Issue 10,   Pages 242-260 doi: 10.1016/j.eng.2024.03.022

Abstract: graph, which is a systematic method that encompasses the following elements: data management and classificationbased on HCP ternary data, HCP ontology construction, knowledge extraction for constructing an HCP knowledgegraph, and comprehensive application of quality control based on HCP knowledge.graph, enabling quality monitoring, inspection, diagnosis, and maintenance strategies for quality controlMoreover, the HCP knowledge graph deeply integrates the provided HCP data and effectively supports comprehensive

Keywords： Quality control     Human-cyber-physical ternary data     Knowledge graph    

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Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 488-497 doi: 10.1007/s11684-020-0762-0

Abstract: artificial intelligence (AI) diagnosis model was constructed according to the dynamic uncertain causality graphknowledge-based editor.

Keywords： knowledge representation     uncertain     causality     graphical model     artificial intelligence     diagnosis     dyspnea    

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Achieving Cognitive Mass Personalization via the Self-X Cognitive Manufacturing Network: An Industrial KnowledgeGraph- and Graph Embedding-Enabled Pathway

Xinyu Li, Pai Zheng, Jinsong Bao, Liang Gao, Xun Xu

Engineering 2023, Volume 22, Issue 3,   Pages 14-19 doi: 10.1016/j.eng.2021.08.018

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Multi-domain Knowledge Convergence Trajectory Analysis of Strategic Emerging Industries Based on Citation

Liu Yufei, Miao Zhongzhen, Li Lingfeng, Kong Dejing

Strategic Study of CAE 2020, Volume 22, Issue 2,   Pages 120-129 doi: 10.15302/J-SSCAE-2020.02.016

Abstract: This study adopts a knowledge convergence trajectory analysis method based on citation network and textIt utilizes a graph neural network model and encodes the citation network, title, and abstract of theFive knowledge convergence trajectories are identified, after analyzing the data of the selected four

Keywords： emerging industries     knowledge convergence     graph neural networks     citation network     topic model    

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Negative weights in network time model

Zoltán A. VATTAI, Levente MÁLYUSZ

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 268-280 doi: 10.1007/s42524-020-0109-1

Abstract: restrictions are represented by weighted arrows, we can release most restraints in constructing the graphnetwork time models and discuss approximately 20 types of time-based restrictions among the activities of construction

Keywords： graph technique     network technique     construction management     scheduling    

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Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management 2022, Volume 9, Issue 4,   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: We then introduce new features and propose a graph convolutional network (GCN) framework, AS-GCN, to

Keywords： autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

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An error recognition method for power equipment defect records based on knowledge graph technology Regular Article

Hui-fang Wang, Zi-quan Liu,huifangwang@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 11,   Pages 1564-1577 doi: 10.1631/FITEE.1800260

Abstract: Then, a graph search algorithm is employed to recognize different kinds of errors in defect records,

Keywords： 错误识别；电力设备缺陷记录；知识图谱；机器学习    

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Digital twin system framework and information model for industry chain based on industrial Internet Research Article

Wenxuan WANG, Yongqin LIU, Xudong CHAI, Lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2024, Volume 25, Issue 7,   Pages 951-967 doi: 10.1631/FITEE.2300123

Abstract: model based on a (KG) is proposed to integrate complex and heterogeneous data and extract industrial knowledgeThird, a relation completion model based on a relational graph convolutional network (R-GCN) and a graphsample and aggregate network (GraphSAGE) is proposed which considers both semantic information and graph

Keywords： Industry chain     Digital twin     Industrial Internet     Knowledge graph     Graph neural network    

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AI Assisted Clinical Diagnosis & Treatment, and Development Strategy

Kong Ming,He Qianfeng and Li Lanjuan

Strategic Study of CAE 2018, Volume 20, Issue 2,   Pages 86-91 doi: 10.15302/J-SSCAE-2018.02.013

Abstract: The second is the use of massive medical knowledge to construct an intelligent diagnosis and treatmentmodel with the ability to combine multimodal data analysis and structured knowledge reasoning.open up new data markets, improve the integration of healthcare data, and provide the new service of knowledge

Keywords： artificial intelligence     assisted diagnosis and treatment     knowledge graph     medical ontology     medical    

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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract:

Knowledge representation is the core of artificial intelligence research.To establish the intrinsic link between various knowledge representation methods, a unified knowledgeThis knowledge representation method is not a contradiction to the traditional knowledge representationIt can express knowledge in terms of multivariate and multidimensional.and inconsistent knowledge.

Keywords： knowledge representation     standard model     ontology     system theory     control theory     multidimensional representation    

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Title Author Date Type Operation

Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction

Journal Article

A Practical Approach to Constructing a Knowledge Graph for Cybersecurity

Yan Jia, Yulu Qi, Huaijun Shang, Rong Jiang, Aiping Li

Journal Article

QUANTITATIVE STUDY ON ANTI-PEST ACTIVITY OF NATURAL PRODUCTS BASED ON VISUALIZATION FRAMEWORK OF KNOWLEDGEGRAPH

Journal Article

Technologies and Applications of Big Data Knowledge Engineering for Smart Taxation Systems

Zheng Qinghua , Shi Bin , Dong Bo

Journal Article

A knowledge-guided and traditional Chinese medicine informed approach for herb recommendation

Zhe JIN, Yin ZHANG, Jiaxu MIAO, Yi YANG, Yueting ZHUANG, Yunhe PAN,11521043@zju.edu.cn,yinzh@zju.edu.cn

Journal Article

An Intelligent Quality Control Method for Manufacturing Processes Based on a Human–Cyber–Physical KnowledgeGraph

Shilong Wang, Jinhan Yang, Bo Yang, Dong Li, Ling Kang

Journal Article

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Journal Article

Achieving Cognitive Mass Personalization via the Self-X Cognitive Manufacturing Network: An Industrial KnowledgeGraph- and Graph Embedding-Enabled Pathway

Xinyu Li, Pai Zheng, Jinsong Bao, Liang Gao, Xun Xu

Journal Article

Multi-domain Knowledge Convergence Trajectory Analysis of Strategic Emerging Industries Based on Citation

Liu Yufei, Miao Zhongzhen, Li Lingfeng, Kong Dejing

Journal Article

Negative weights in network time model

Zoltán A. VATTAI, Levente MÁLYUSZ

Journal Article

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

An error recognition method for power equipment defect records based on knowledge graph technology

Hui-fang Wang, Zi-quan Liu,huifangwang@zju.edu.cn

Journal Article

Digital twin system framework and information model for industry chain based on industrial Internet

Wenxuan WANG, Yongqin LIU, Xudong CHAI, Lin ZHANG

Journal Article

AI Assisted Clinical Diagnosis & Treatment, and Development Strategy

Kong Ming,He Qianfeng and Li Lanjuan

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article