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Knowledge Grid, The [Hardback]

(Aston Univ, Uk)
  • Formāts: Hardback, 280 pages
  • Izdošanas datums: 15-Dec-2004
  • Izdevniecība: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9812561404
  • ISBN-13: 9789812561404
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  • Cena: 119,74 €
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  • Bibliotēkām
  • Formāts: Hardback, 280 pages
  • Izdošanas datums: 15-Dec-2004
  • Izdevniecība: World Scientific Publishing Co Pte Ltd
  • ISBN-10: 9812561404
  • ISBN-13: 9789812561404
Citas grāmatas par šo tēmu:
The Knowledge Grid is an intelligent and sustainable interconnection environment that consists of autonomous individuals, self-organized semantic communities, adaptive networking mechanisms, evolving semantic link networks keeping meaningful connection between individuals, flows for dynamic resource sharing, and mechanisms supporting effective resource management and providing appropriate knowledge services for learning, innovation, teamwork, problem solving, and decision making. This book presents its methodology, theory, models and applications systematically for the first time.Its second edition fulfils the ideal of the Knowledge Grid by increasing many up-to-date new contents, including: (1) The systematic method of semantic link network that supports uncertainty management, discovery of semantic links and semantic communities, and autonomous semantic data model; (2) Semantic peer-to-peer infrastructures for efficient knowledge sharing; and, (3) A new centrality measure of network and its application in e-science. This new edition will undoubtedly provide refreshing materials for researchers, academics, practitioners and students.
Foreword v
Preface vii
The Knowledge Grid Methodology
Towards the Next-Generation Web
2(2)
Challenges and Opportunities
4(1)
Towards the Knowledge Grid
5(7)
Virtual characteristics
6(1)
Social characteristics
6(1)
Adaptive characteristics
7(1)
Semantic characteristics
8(4)
Epistemology
12(3)
Ontology
15(1)
System Methodology
16(7)
The theory of dissipative structure
16(1)
Synergetic theory
17(1)
The hypercycle --- a principle of natural self-organization
18(2)
Principles and strategies
20(3)
Knowledge Management
23(2)
Definition, Characteristics and Strategies of the Knowledge Grid
25(13)
Definition
25(2)
Parameters
27(1)
Distinctive characteristics of the Knowledge Grid
28(1)
The Knowledge Grid's general research issues
29(1)
Difference between the Web and the Knowledge Grid
30(1)
The technological basis of the Knowledge Grid
31(1)
The dream and the strategy
32(6)
Semantic Link Network
The Idea of Mapping
38(2)
Overview
40(5)
Semantic Reasoning Rules
45(2)
An Algebraic Model of the SLN
47(5)
SLN Normalization Theory
52(5)
The normal forms of an SLN
52(1)
Operations on SLNs
53(4)
Criteria, Constraints and Integrity
57(4)
Criteria
57(1)
Constraints and integrity
58(1)
Browsing, execution and reasoning
59(1)
Browsing
59(1)
Execution and reasoning
60(1)
SLN Ranking
61(4)
Hyperlink network ranking
61(1)
SLN ranking
62(1)
A ranking algorithm
62(3)
SLN Operations Implementation
65(6)
Matching between SLNs
65(3)
The union operation
68(2)
SLN reasoning
70(1)
SLN-based Analogical Reasoning
71(8)
Analogical reasoning modes
72(4)
Process and algorithm of analogical reasoning
76(2)
Comparing reasoning and rank
78(1)
Dynamic SLNs
79(7)
Representation of a dynamic semantic link
80(1)
Advantages of the dynamic semantic link
80(1)
Constraints on semantic link change
81(1)
Dynamic semantic link reasoning
82(1)
Connectivity
83(1)
A dynamic semantic browser
84(2)
SLN Abstraction
86(4)
Concept and operation
86(2)
Abstraction, epistemology and ontology
88(2)
Application 1: SLN-based Image Retrieval
90(4)
Application 2: Active Document Framework (ADF)
94(2)
Discussion
96(3)
A Resource Space Model
The Virtual Grid
99(1)
The Resource Space Model (RSM)
100(8)
Resource spaces
100(4)
Normal forms
104(4)
Criteria for Designing Resource Spaces
108(2)
Designing Resource Spaces
110(1)
Representation of Resource Semantics
111(1)
The Resource Using Mechanism (RUM)
112(3)
Comparisons
115(4)
Extension of the Resource Space Model
119(10)
Formalizing resource space
119(1)
Resource space schemas and normal forms
120(6)
Topological properties of resource spaces
126(3)
Integrity Constraint for the Resource Space Model
129(12)
Entity integrity constraints
129(4)
The membership integrity constraint
133(1)
Referential integrity constraints
134(4)
User-defined integrity constraints
138(3)
The Single Semantic Image
Combining the SLN and the Resource Space Model
141(2)
The SSel Mechanism
143(2)
The Single Semantic Image Query Language
145(3)
SSeIQL Syntax Specification
148(9)
Syntax for resource space definition
148(2)
Multiple resource space manipulation
150(3)
Resource modification
153(2)
Semantic link space
155(1)
View definition
155(2)
The Programming Environment
157(2)
Comparison
159(1)
The Single Semantic Image Browser
160(6)
SSeIQL Grammar
166(2)
The SSeI in a Peer-to-Peer Semantic Link Network
168(4)
SSeI's Hierarchy, Time and Epistemology
172(2)
Knowledge Flow
Definition
174(2)
A Knowledge Flow Process Model
176(2)
Peer-to-Peer Knowledge Sharing
178(2)
Knowledge Intensity
180(2)
Knowledge Flow Principles
182(2)
Computational Model of Knowledge Intensity
184(4)
Computing knowledge intensity in a closed environment
184(2)
Computing knowledge intensity in an open environment
186(1)
Knowledge intensity evaluation
187(1)
Knowledge Spiral Model
188(2)
Knowledge Flow Network Planning
190(4)
Composition operations and principles
190(2)
Knowledge flow network components
192(1)
The team organization principle
193(1)
Resource-Mediated Knowledge Flows
194(2)
Exploring Scale-Free Network
Introduction
196(2)
The Topologies of Some Real Networks
198(13)
The Internet
199(2)
The World Wide Web
201(2)
Networks of citations of scientific papers
203(2)
Networks of collaboration
205(3)
Networks of human language
208(2)
Other networks
210(1)
Random Graph Theory
211(2)
The Small-World Theory
213(3)
Modeling Measures for Live Scale-Free Networks
216(14)
The Barabasi-Albert model
216(2)
Generalizations of the Barabasi-Albert model
218(1)
Link rewiring
218(2)
Node attractiveness
220(1)
The idea of random fraction for Web growth
221(1)
The Krapivsky-Redner model
222(2)
The Simon model
224(2)
An example from software engineering
226(1)
Other growth models with constraints
226(1)
Decaying networks
227(1)
Aging networks
227(1)
Fitness networks
228(1)
Age or cost constrained networks
229(1)
Modeling Actual Scale-Free Network
230(23)
An urn transfer model for a live scale-free network
233(5)
A directed evolving graph for a live scale-free network
238(5)
Experiments and analysis
243(4)
Further consideration and comparisons
247(3)
Proof of the proposition
250(3)
Summary and Implications
253(2)
Bibliography 255(8)
Index 263