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Temporal Information Processing Technology and Its Applications [Hardback]

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  • Formāts: Hardback, 349 pages, height x width: 235x155 mm, weight: 723 g, XVIII, 349 p., 1 Hardback
  • Izdošanas datums: 05-Apr-2011
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642149588
  • ISBN-13: 9783642149580
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Temporal Information Processing Technology and Its ApplicationsPalielināt
  • Formāts: Hardback, 349 pages, height x width: 235x155 mm, weight: 723 g, XVIII, 349 p., 1 Hardback
  • Izdošanas datums: 05-Apr-2011
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642149588
  • ISBN-13: 9783642149580
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783642149580.html
Keywords:
"Temporal Information Processing Technology and Its Applications" systematically studies temporal information processing technology and its applications. The book covers following subjects: 1) time model, calculus and logic; 2) temporal data models, semantics of temporal variable 'now' temporal database concepts; 3) temporal query language, a typical temporal database management system: TempDB; 4) temporal extension on XML, workflow and knowledge base; and, 5) implementation patterns of temporal applications, a typical example of temporal application.The book is intended for researchers, practitioners and graduate students of databases, data/knowledge management and temporal information processing.Dr. Yong Tang is a professor at the Computer School, South China Normal University, China.

Presenting a systematic introduction to temporal model and time calculation, this volume explores temporal information processing technology and its applications. Topics include the time model in terms of calculus and logic, temporal data models and database concepts, temporal query language, and more.

Recenzijas

From the reviews:

Time-based information processing is extensively used in industrial applications, e-commerce, and other Web applications. The book describes the analysis, study, and latest research of a large number of aspects of such processing. Professionals working in time-based database systems can utilize the concepts and theories while designing solutions. Each chapter can be read independently. Finally, the book includes reference lists, which can be used by beginning researchers. (Maulik A. Dave, ACM Computing Reviews, February, 2012)

Preface i
List of Figures and Tables xiii
Part I Temporal Models and Calculation Methods 1(66)
1 From Time Data to Temporal Information
3(18)
1.1 Application Requirement
3(1)
1.2 What Is Time Data
4(4)
1.2.1 Time Point
5(1)
1.2.2 Time Interval
6(1)
1.2.3 Time Span
7(1)
1.2.4 Complex Time Data
7(1)
1.3 Temporal Information, Temporal Database and Temporal System
8(1)
1.3.1 What Is Temporal Information
8(1)
1.3.2 Temporal Database
8(1)
1.3.3 Temporal System
9(1)
1.4 Origin and Development of Temporal Information Technologies
9(4)
1.4.1 Founding Phase
10(1)
1.4.2 Development Phase
11(1)
1.4.3 Application Phase
11(2)
1.5 Current Situation, Problems and Trends
13(4)
1.5.1 Current Situation
13(2)
1.5.2 Existent Problems in Temporal Database Research
15(1)
1.5.3 Trends
16(1)
References
17(4)
2 Time Calculation and Temporal Logic Method
21(22)
2.1 Time Model
22(2)
2.1.1 Continuous Model
22(1)
2.1.2 Stepwise Model
23(1)
2.1.3 Discrete Model
23(1)
2.1.4 Non Temporal Model
24(1)
2.2 Properties of Time Structure
24(2)
2.2.1 Order Relations of Time Sets
24(1)
2.2.2 First Order Properties of Time Flow
24(2)
2.3 Point-Based Temporal Logic
26(3)
2.3.1 Temporal Extensions Based Snapshot Model
26(2)
2.3.2 Temporal Extensions Based Timestamp Model
28(1)
2.4 Interval-Based Temporal Logic
29(4)
2.4.1 From Interval to Point
30(1)
2.4.2 From Point to Point
31(1)
2.4.3 Temporal Predict
32(1)
2.5 Calculation Based on Span
33(1)
2.6 Other Temporal Calculations in Common Use
34(1)
2.7 Time Granularity and Conversion Calculation
34(4)
2.7.1 Time Granularity and Chronon
35(1)
2.7.2 State of Existence of Time Granularity
35(1)
2.7.3 Operations of Time Granularity
36(2)
2.7.4 Relational Chart of Time Granularity Conversion
38(1)
2.8 Tense Logic
38(4)
2.8.1 Syntax and Semantics of Tense Logic
39(1)
2.8.2 Axiomatics and Properties
40(2)
References
42(1)
3 Temporal Extension of Relational Algebra
43(24)
3.1 Regular Relational Operations
44(3)
3.1.1 Basic Notions
44(1)
3.1.2 Relational Algebra
45(2)
3.1.3 Relational Calculus
47(1)
3.2 Relational Algebra of Historical Database
47(8)
3.2.1 Basic Notions and Terminologies
48(1)
3.2.2 HRDM Model
48(1)
3.2.3 Historical Relational Algebra of HRDM
49(6)
3.3 Bitemporal Relational Algebra of BCDM
55(7)
3.3.1 Basic Notions and Terminologies
55(4)
3.3.2 Bitemporal Relational Algebra
59(3)
3.4 Snapshot Reducibility and Temporal Completeness
62(3)
3.4.1 Snapshot Reducibility
62(2)
3.4.2 Temporal Semi-Completeness
64(1)
3.4.3 Temporal Completeness
65(1)
References
65(2)
Part II Database Based on Temporal Information 67(82)
4 Temporal Data Model and Temporal Database Systems
69(22)
4.1 Time-Dimensions
69(6)
4.1.1 User-Defined Time
69(1)
4.1.2 Valid Time
70(1)
4.1.3 Transaction Time
71(1)
4.1.4 Two Temporal Variables: Now and UC
71(1)
4.1.5 An Illustration
72(3)
4.2 Temporal Database Types
75(7)
4.2.1 Snapshot Database
75(1)
4.2.2 Historical Database
76(2)
4.2.3 Rollback Database
78(3)
4.2.4 Bitemporal Database
81(1)
4.3 Temporal Data Models
82(5)
4.3.1 Bitemporal Time Stamps
82(3)
4.3.2 BCDM
85(1)
4.3.3 Temporal Entity-Relationship Data Model
86(1)
4.4 Difference from Real-Time Database
87(1)
References
88(3)
5 Spatio-Temporal Data Model and Spatio-Temporal Databases
91(22)
5.1 Introduction
91(1)
5.2 Spatio-Temporal Data Model
92(14)
5.2.1 Spatio-Temporal Object
92(1)
5.2.2 Basic Considerations of Spatio-Temporal Modeling
93(3)
5.2.3 Version Based Data Model
96(4)
5.2.4 Event-Based Data Model
100(3)
5.2.5 Constraint-Based Data Model
103(1)
5.2.6 Moving Objects Data Model
103(3)
5.3 Query on Spatio-Temporal Data
106(3)
5.3.1 Spatio-Temporal Data Query
107(1)
5.3.2 Moving Data Query
107(1)
5.3.3 Spatio-Temporal Database Language
108(1)
5.4 Structure of Spatio-Temporal Database System
109(2)
5.4.1 Structure of Complete Type
109(1)
5.4.2 Structure of Layered Type
110(1)
5.4.3 Structure of Extended Type
110(1)
Reference
111(2)
6 Temporal Extension of XML Data Model
113(12)
6.1 Motivation
114(5)
6.1.1 XML Temporal Driven
114(2)
6.1.2 Commercial-Driven Temporal Database
116(3)
6.2 Temporal Research of the Semi-Structured Data
119(1)
6.3 Temporal XML Model and Query Mechanism
120(3)
References
123(2)
7 Data Operations Based on Temporal Variables
125(24)
7.1 Introduction
125(2)
7.2 Data Model Based on Temporal Variables
127(5)
7.2.1 Order and Temporal Variables
127(2)
7.2.2 Main Body Instances
129(2)
7.2.3 Bitemporal Relation Model Based on Variables
131(1)
7.3 Data Updating
132(6)
7.3.1 Data Inserting
132(3)
7.3.2 Data Deleting
135(1)
7.3.3 Data Modifying
136(2)
7.4 Data Querying
138(9)
7.4.1 Now in Current Versions
138(3)
7.4.2 Now in Non-Current Version
141(1)
7.4.3 Temporal Querying Algorithms
142(5)
References
147(2)
Part III Temporal Index Technologies 149(76)
8 Temporal Indexes Supporting Valid Time
151(24)
8.1 Introduction
151(1)
8.2 Summary of Temporal Index
152(7)
8.2.1 Temporal Index Based on Transaction Time
153(1)
8.2.2 Index Based on Valid Time
154(1)
8.2.3 Bitemporal Index
155(4)
8.3 TRdim
159(7)
8.3.1 Relative Temporal Data Model
159(1)
8.3.2 Temporal Relation Index Model
160(6)
8.4 Data Querying and Index Updating
166(5)
8.4.1 Index Querying
166(1)
8.4.2 Index Updating
167(4)
8.5 Simulation
171(2)
8.5.1 Index Constructing
171(1)
8.5.2 Query Based on Probability
172(1)
8.5.3 Query Based on the Number of Data
172(1)
References
173(2)
9 Indexes for Moving-Objects Data
175(28)
9.1 Introduction
175(6)
9.2 Data Model for Moving Objects
181(8)
9.2.1 Data Model Modm
182(2)
9.2.2 Temporal Summary
184(5)
9.3 Index for Moving Object Data
189(6)
9.3.1 Linear Order Division
189(3)
9.3.2 Index Model Modim
192(3)
9.4 Data Query
195(3)
9.5 Index Update
198(3)
References
201(2)
10 Temporal XML Index Schema
203(22)
10.1 Introduction
203(2)
10.2 Linear-Order Relation
205(5)
10.2.1 Linear-Order Matrix
206(1)
10.2.2 Linear-Order Equivalence Relation
207(3)
10.3 Temporal Summary and Temporal Indexing
210(4)
10.3.1 Data Model
210(1)
10.3.2 Temporal Summary
211(2)
10.3.3 Temporal Indexing
213(1)
10.4 Data Query
214(3)
10.4.1 Query Based on Absolute Paths
215(1)
10.4.2 Query Based on Relative Paths
215(2)
10.5 Simulation and Evaluation
217(6)
10.5.1 Environment and Data Design
217(1)
10.5.2 Simulation and Evaluation
217(6)
References
223(2)
Part IV Temporal Database Management Systems 225(56)
11 Implementation of Temporal Database Management Systems
227(18)
11.1 Introduction
227(1)
11.2 TimeDB
228(6)
11.2.1 Installation
228(2)
11.2.2 TimeDB 2.0 Beta 4's User Interface
230(2)
11.2.3 Examples
232(2)
11.3 TempDB
234(7)
11.3.1 Installation
234(1)
11.3.2 TempDB's User Interface
235(3)
11.3.3 Examples
238(3)
11.4 Comparing TimeDB with TempDB
241(1)
References
242(3)
12 Improvement and Extension to ATSQL2
245(16)
12.1 Introduction
245(1)
12.2 Study on ATSQL2
246(3)
12.2.1 Requirements and Expatiation
246(1)
12.2.2 Properties of ATSQL2
247(2)
12.3 Interpretation of ATSQL2 Semantics
249(6)
12.3.1 Data Definition Statement
249(1)
12.3.2 Data Manipulation Statement
250(1)
12.3.3 Data Query Statement
251(4)
12.4 Improved ATSQL2
255(3)
12.4.1 Clear Regulation to the Semantic Operator
255(1)
12.4.2 Re-Definition of Scalar Expression
256(1)
12.4.3 Clearly Regulate the Usage of Common Operators and Temporal Operators in Conditional Statements
257(1)
References
258(3)
13 Design and Implementation of TempDB
261(20)
13.1 Introduction
261(1)
13.2 Framework of TempDB
262(4)
13.2.1 Middleware Architecture
262(1)
13.2.2 Platform of Implementation
263(1)
13.2.3 Architecture of TempDB
263(3)
13.3 Implementation of TempDB
266(4)
13.3.1 Temporal DDL
266(1)
13.3.2 Temporal DML
267(2)
13.3.3 Temporal Query
269(1)
13.4 Processing Mechanism of Temporal Integrity Constraints
270(5)
13.4.1 Basic Concepts
271(1)
13.4.2 Temporal Insertion
271(1)
13.4.3 Temporal Deletion
272(1)
13.4.4 Temporal Modification
273(2)
13.5 Optimization of Performance
275(3)
13.5.1 Temporal Indexes and MAP21
275(1)
13.5.2 Binding on Now
275(1)
13.5.3 MAP21-B
276(2)
References
278(3)
Part V Temporal Application and Case Study 281(62)
14 Research on Temporal Extended Role Hierarchy
283(10)
14.1 Introduction
283(1)
14.2 Related Work
284(1)
14.3 Extended Role Hierarchy
285(2)
14.4 Temporal Role Hierarchy
287(5)
14.4.1 Time Constraint on the Inheritance of Restricted Special Permission
287(2)
14.4.2 Temporal Inheritance Character
289(1)
14.4.3 Space and Time Efficiency Analysis
290(2)
References
292(1)
15 Temporal Workflow Modeling and Its Application
293(18)
15.1 Introduction
293(1)
15.2 Related Work
294(1)
15.3 A Modified Workflow Meta-Model and Temporal Attributes
295(6)
15.3.1 Build-Time Meta-Model
296(3)
15.3.2 Run-Time Meta-Model
299(1)
15.3.3 A Formal Model of Temporal Workflow
300(1)
15.4 Fuzzy Temporal Workflow Nets (FTWF-Nets)
301(3)
15.4.1 Fuzzy Time Point
301(1)
15.4.2 Formal Definition for FTWF-Nets
302(1)
15.4.3 Time Related Calculation in FTWF-Nets
303(1)
15.5 Time Modeling and Time Possibility Analysis
304(2)
15.6 An Illustration
306(2)
References
308(3)
16 Temporal Knowledge Representation and Reasoning
311(14)
16.1 Introduction
311(2)
16.2 Temporal Production System
313(5)
16.2.1 Basic Definitions
313(2)
16.2.2 Temporal Reasoning
315(3)
16.3 Prototype Implementation in a Salary System
318(4)
16.3.1 Global Database
318(1)
16.3.2 Data Structures of Temporal Production Rules in Database
319(1)
16.3.3 Data Structures of Facts in Database
320(1)
16.3.4 Details in Reasoning
320(2)
16.3.5 Binding Semantics of Now Variable
322(1)
References
322(3)
17 Temporal Application Modes and Case Study
325(18)
17.1 Temporal Application Modes
326(1)
17.1.1 Entire Temporal Application Mode
326(1)
17.1.2 Embedding Temporal Application Mode
327(1)
17.1.3 Mix Temporal Application Mode
327(1)
17.2 Temporal Data/Knowledge View
327(3)
17.2.1 Temporal Data View
327(1)
17.2.2 Temporal Data/Knowledge Model
328(1)
17.2.3 Links of Temporal Knowledge and Temporal Data
328(2)
17.3 Temporal Application in Cooperative Software
330(4)
17.3.1 Three Basic Elements of Cooperative Software
330(1)
17.3.2 Temporal Relation of Collaborative Roles
331(1)
17.3.3 Temporal Extension in the Collaboration Information
332(1)
17.3.4 Temporal Extension of Workflow
332(1)
17.3.5 Case Study
333(1)
17.4 SIDSS: A Typical Example of Temporal Application
334(7)
17.4.1 Introduction
334(1)
17.4.2 Temporal Data in SIDSS
335(2)
17.4.3 Temporal Knowledge in SIDSS
337(3)
17.4.4 Implementation of SIDSS
340(1)
References
341(2)
Appendix 343(4)
A.1 Extension ATSQL of TempDB 2.1
343(2)
A.2 API of TempDB 2.1
345(2)
Index 347
Dr. Tang Yong is a professor at the Computer School, South China Normal University, China.