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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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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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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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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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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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Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management   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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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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Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural Research Article

Hanqi DAI, Weining LU, Xianglong LI, Jun YANG, Deshan MENG, Yanze LIU, Bin LIANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1069-1076 doi: 10.1631/FITEE.2100597

Abstract: We propose a novel architecture that combines a graph neural network with a sampling method.., Graph SAmple and aggreGatE), which is the first time this method has been used to deal with the problem, and (2) a task-oriented sampling method is proposed to aggregate the available knowledge from a particular

Keywords： Multi-agent system     Cooperative planning     GraphSAGE     Task-oriented knowledge fusion    

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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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Large-scale graph processing systems: a survey Review

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 384-404 doi: 10.1631/FITEE.1900127

Abstract: Graph is a significant data structure that describes the relationship between entries.Many application domains in the real world are heavily dependent on graph data.However, graph applications are vastly different from traditional applications.of specific graph processing platforms.In this survey, we systematically categorize the graph workloads and applications, and provide a detailed

Keywords： Graph workloads     Graph applications     Graph processing systems    

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A Framework of Knowledge Theory： Toward a Unified Theory of Information, Knowledge and Intelligence

Zhong Yixin

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 50-64

Abstract:

Knowledge has been very important wealth to the mankind but there has not a knowledge theory existedAn attempt is thus made in the paper to present a framework of knowledge theory that includes two parts: fundamentals and the main body of knowledge theory.The second part is to explore the mechanism of knowledge formation based on information processing andthe mechanism of intelligence formation based on the activation of knowledge.

Keywords： knowledge     amount of knowledge     knowledge formation     knowledge activation     unified theory of information-knowledge-intelligence    

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Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Frontiers of Engineering Management 2016, Volume 3, Issue 2,   Pages 136-143 doi: 10.15302/J-FEM-2016030

Abstract: In this paper, an application mode and method of knowledge management in remanufacturing engineeringThe relationships between knowledge transfer, knowledge sharing and remanufacturing engineering managementIt is noticeable that a great deal of knowledge transfer and sharing activities, which can improve the

Keywords： remanufacturing     engineering management     knowledge transfer and sharing     knowledge management    

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Title Author Date Type Operation

A Practical Approach to Constructing a Knowledge Graph for Cybersecurity

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

Journal Article

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

Zheng Qinghua , Shi Bin , Dong Bo

Journal Article

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

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

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

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

AI Assisted Clinical Diagnosis & Treatment, and Development Strategy

Kong Ming,He Qianfeng and Li Lanjuan

Journal Article

Cooperative planning of multi-agent systems based on task-oriented knowledge fusion with graph neural

Hanqi DAI, Weining LU, Xianglong LI, Jun YANG, Deshan MENG, Yanze LIU, Bin LIANG

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

Large-scale graph processing systems: a survey

Ning LIU, Dong-sheng LI, Yi-ming ZHANG, Xiong-lve LI

Journal Article

A Framework of Knowledge Theory： Toward a Unified Theory of Information, Knowledge and Intelligence

Zhong Yixin

Journal Article

Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Journal Article