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Research on the Structure Model and Mining Algorithm for Knowledge Discovery Based on Knowledge Base

Yang Bingru,Shen Jiangtao,Chen Hongjie

Strategic Study of CAE 2003, Volume 5, Issue 6, Pages 49-54

Abstract:

Knowledge discovery in knowledge base (KDK) is a brand-new task.Its success will directly act on the construction of large knowledge base, and, at present, it is importantto the solving of the bottleneck of machine study—discovering knowledge.The main work of this paper is： The inductive structure of KDK based on the facts in knowledge base,base and its experimental verification.

Keywords： knowledge discovery based on knowledge base induction logic of Carnap induction logic of L. J.

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Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9, Pages 744-758 doi: 10.1631/FITEE.1400376

Abstract: effectively is an essential task for decision-making activities such as classification, prediction, and knowledgediscovery.In this paper, we propose a new symbolic representation method for long time series based on trend featuresA time series is represented by trend symbols, which are also suitable for use in knowledge discoverydiscovery from time series.

Keywords： Long time series Segmentation Trend features Symbolic Knowledge discovery

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perspectives and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-021-1507-2

Abstract:

• The overall global perspective of the PHMCS field was obtained.

Keywords： Heavy metal-contaminated soil Hot topics Knowledge mapping analysis Knowledge base Phytoremediation

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Extension Knowledge Base System and Its Application

Li Lixi,Li Jia

Strategic Study of CAE 2001, Volume 3, Issue 3, Pages 61-64

Abstract:

Knowledge base system (KBS) is an organization to store and manage a lot of knowledge.Extension knowledge representation (EKR) based on extension theory is presented in this paper.Finally, the feature and the frame of extension knowledge base system (EKBS) are proposed.It is composed of goal system, condition system, common knowledge base, categorized knowledge base, inferencemachine and knowledge base management system.

Keywords： extension theory non-compatible knowledge base

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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 engineeringmanagement is established based on Nonaka’s SECI model.The 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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New technology foresight method based on intelligent knowledge management

Lingling ZHANG, Siting HUANG

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 238-247 doi: 10.1007/s42524-019-0062-z

Abstract: Intelligent knowledge management emphasizes human–machine integration, which combines the advantagesThus, we proposed a new technology foresight method based on intelligent knowledge management.

Keywords： technology foresight intelligent knowledge management technological online platform

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A Knowledge Base System for Operation Optimization: Design and Implementation Practice for the Polyethylene Article

Weimin Zhong, Chaoyuan Li, Xin Peng, Feng Wan, Xufeng An, Zhou Tian

Engineering 2019, Volume 5, Issue 6, Pages 1041-1048 doi: 10.1016/j.eng.2019.09.004

Abstract:

Setting up a knowledge base is a helpful way to optimize the operation of the polyethylene processIn this paper, we propose an overall structure for a knowledge base based on practical customer demandBased on this network, a differential evolution algorithm is introduced to optimize the operating conditionsFinally, utilizing a MySQL database and the Java programming language, a knowledge base system for theoperation optimization of the polyethylene process based on a browser/server framework is realized.

Keywords： Ontology Operation optimization Knowledge base system Polyethylene process

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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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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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A Study on Double Bases Cooperating Mechanism in KDD ( I )

Yang Bingru,Wang Jianxin

Strategic Study of CAE 2002, Volume 4, Issue 4, Pages 41-51

Abstract: discovery, the database can be restricted and deriven by the knowledge base whose structure can be inAt the same time, the velocity, precision, and the auto-cognition of knowledge discovery can be imrovedand the knowledge base is structurally equipped with the capacity of real time maintenance and to evolveThis paper mainly deals with the corresponding relation between the database and knowledge base, whichare the basis of double-base cooperating mechanism.

Keywords： knowledge node primitive knowledge base primitive database data sub-class structure doublebase cooperating

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Knowledge-based competitive strategy using direct customer experience for automobile product development

Peter HODGES, Shuh Yuan LIOU,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 1, Pages 33-46 doi: 10.1007/s11465-009-0080-3

Abstract: Expertise in integration requires attention to knowledge management, which is crucial for competitive

Keywords： product development strategy knowledge management

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Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy TemporalKnowledge Reasoning”

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2017, Volume 3, Issue 1, Pages 150-150 doi: 10.1016/J.ENG.2017.01.002

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The application and deepening of knowledge management system

Li Hua

Strategic Study of CAE 2011, Volume 13, Issue 8, Pages 87-93

Abstract:

In the knowledge economy era, enterprises begin to realize that the mostvaluable property is knowledge.Effectively implementing the knowledge management system should be guided by the correct principles.The selection of sharing knowledge, building knowledge sharing platform and storage management unit,leading knowledge exchange and implementing incentive policies should be emphasized.

Keywords： knowledge management knowledge sharing knowledge forum

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

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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Development and Prospect of Big Data Knowledge Engineering

Zheng Qinghua, Liu Huan, Gong Tieliang, Zhang Lingling, Liu Jun

Strategic Study of CAE 2023, Volume 25, Issue 2, Pages 208-220 doi: 10.15302/J-SSCAE-2023.02.018

Abstract:

Big Data Knowledge Engineering is the infrastructure of artificial intelligenceand propose a research framework of “data knowledgeization, knowledge systematization, and knowledgeSecondly, we sort out the key technologies of knowledge acquisition and fusion, knowledge representationdirections including complex big data knowledge acquisition, knowledge+data hybrid learning, and brain-inspiredknowledge coding and memorizing.

Keywords： Big Data Knowledge Engineering Knowledge Acquisition Knowledge Fusion Knowledge Representation Knowledge