敬石開、周競濤、曾蘊波編著的《面向產品設計
的工程知識管理(全國高等醫藥院校規劃教材英文版)
》繫統的闡述了產品設計中知識管理的相關理論與關
鍵技術，主要內容有：工程知識管理的定義和重點研
究內容；復雜產品總體設計面臨的問題以及對工程知
識的管理需求；工程知識驅動的復雜產品總體設計方
法的核心思想；連續、一致、可追溯的工程知識形式
化描述方法；設計狀態要素實例提取算法和基於流形
算法的產品演化映射關繫提取算法；工程知識驅動的
設計狀態要素推理的總體思路；雲環境下的知識融合
；面向任務的知識主動推送技術；原型繫統以及工程
知識驅動的產品設計方法、關鍵技術的有效性驗證。
本書重點突出了工程知識管理思想與產品設計過
程的融合，可以作為高校設計學科在創新設計方面本
科生、碩士生的參考書或教材，也可以作為研究機構
在知識管理工程實踐的參考書。

Preface
Chapter 1 Summary of Engineering Knowledge Management
1.1 Conceptand categorization of knowledge management
1.1.1 Summary
1.1.2 Generation of knowledge management
1.1.3 What is knowledge management
1.1.4 Highlights of knowledge management
1.1.5 Evolution of knowledge management
1.2 Presentation of Engineering Knowledge Management
1.2.1 Starting from theengineering knowledge
1.2.2 What is Engineering Knowledge Management
1.3 Chapter Summary
Chapter 2 Management Requirement of Engineering Knowledge for Overall Design of Complex Product
2.1 Overview of overall design of complex product
2.2 Related research of overall design of complex product
2.2.1 Related key technology research of overall design of complex product
2.2.2 Related research of overall design method
2.3 Problems for overall design of Complex product
2.3.1 Attaching importance to the design results and despising the design process
2.3.2 Depending on experience and lacking innovative capacity
2.3.3 Discrete design pattern, bad systematicness and continuity
2.4 The management requirements of engineering knowledge for overall design of complex product
2.5 Chapter Summary
Chapter 3 Engineering Knowledge Management Method for Complex Product Design
3.1 Preface
3.2 Core thought of engineering knowledge management method for complex product desigp
3.2.1 Treating overall design process for system engineering as main line
3.2.2 Treating engineering knowledge model as the core
3.2.3 Treating transformation and evolution of knowledge among engineeringknowledge as the driver
3.3 Basic theory of engineering knowledge management method forcomplex product design
3.3.1 Constructing unified and multistage engineering knowledge model of overall design of products
3.3.2 Acquiring of evolution mapping relationship of product cross-stage for knowledge discovery
3.3.3 Automatic reasoning process of engineering knowledge-driven overall designofproducts
3.4 Basic methods of engineering knowledge management method forcomplex product design
3.5 Characteristics of engineering knowledge management method for complex product design
3.6 Chapter Summary
Chapter 4 Engineering Knowledge Model Building for the Overall Design of Complex Products
4.1 Foreword
4.2 Related terms definitions of the overall product design process
4.3 Definitions of engineering knowledge model
4.4 Operation strategy between alllevels
4.5 Building process of engineering knowledge model
4.5.1 The building process of engineering knowledge model for the product design
4.5.2 Determine the application requirements and concept scope of domain ontology
4.5.3 Domain ontology concept modular extraction and analysis
4.5.4 Validity evaluation of domain ontology
4.5.5 Domain-ontology-based engineering knowledge modeling
4.5.6 Knowledge ontology model building for the product overall design
4.6 Characteristics of the model
4.7 Chapter Summary
Chapter 5 Acquisition of Evolution Mapping Relations in Complex Product
Overall Design Knowledge
5.1 Introduction
5.2 Analysis of the types of evolution mapping relation
5.3 Extraction of design state element instances
5.3.1 Analysis and preprocessing of product overall design document
5.3.2 Extraction algorithm of design state element instances
5.4 Extraction algorithm of evolution mapping relation in knowledge
discovery
5.4.1 The concept of knowledge discovery
5.4.2 Extraction of evolution mapping relation based on manifold algorithm
5.5 Example verification
5.6 Chapter summary
Chapter 6 Engineering Knowledge-driven Design State Element Reasoning of
Complex Product
6.1 Introduction
6.2 The common reasoning methods
6.3 The overall idea of engineering knowledge-driven design state
element reasoning
6.4 Reasoning algorithms of engineering knowledge-driven design
state element
6.4.1 Common reasoning strategies
6.4.2 The reasoning algorithms of design state element on reasoning intention
6.4.3 Deciding reasoning decision based on theanalytic hierarchy process
6.4.4 Engineering knowledge reasoning technology based on semantic
6.5 Case Validation
6.6 Chapter Summary
Chapter 7 Knowledge Integration in Cloud Environment
7.1 Knowledge fusion and service requirement and overall framework
under cloud manufacturing mode
7.1.1 The Features of Knowledge Management of Group Enterprise and
Integration Service Requirements
7.1.2 Knowledge modeling based on more Domains Ontology
7.1.3 Knowledge Fusion and the overall framework and key technology
7.2 Dynamic ontology construction
7.2.1 Group enterprise domain ontology
7.2.2 Dynamic ontology construction based on Jena Knowledge requirement
analytical
7.2.3 Dynamic ontology construction examples
7.3 Knowledge integration and service based on dynamic ontology and
Solr
7.3.1 Overall flow of knowledge integration and service based on dynamic
ontology and Solr
7.3.2 Knowledge unit acquisition and integration based on the dynamic
ontology
7.3.3 Solr-based distributed knowledge resource access and service
7.4 Chapter Summary
Chapter 8 Task Oriented Engineering Knowledge Application Technology
8.1 Introduction
8.2 Task oriented knowledge active push service framework
8.3 Key technology of task oriented knowledge push
8.3.1 Active knowledge push technology based on workflow
8.3.2 Task-requirement-oriented knowledge acquisition technology
8.4Chapter Summary
Chapter 9 Application Verification
9.1 Introduction
9.2 MDSOD Introduction
9.2.1 MDSOD function module
9.2.2 Operational process of MDSOD
9.2.3 MDSOD system structures
9.3 Application Case Study
9.3.1 Application Process
9.3.2 Application effectiveness
9.4 Prototype system development and application examples
9.4.1 System overall design
9.4.2 System function application examples
9.5 Chapter Summary
References