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9783540405528

Spatio-Temporal Databases

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  • ISBN13:

    9783540405528

  • ISBN10:

    3540405526

  • Format: Paperback
  • Copyright: 2003-09-01
  • Publisher: Springer-Verlag New York Inc
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Summary

This book summarizes in a timely and representative manner research carried out in the CHOROCHRONOS Project, established as an EC funded Training and Mobility Research Network with the objective of studying the design, implementation, and application of spatio-temporal database management systems.The nine coherent chapters by leading research groups are written in a tutorial style, making the research contributions of the project accessible to a wider audience interested in spatio-temporal information processing. Follwing an introductory overview, the book presents chapters on ontologies for spatio-temporal databases, conceptual models, spatio-temporal models and languages, access methods and query processing, architectures and implementation of spatiotemporal DBMS, interactive spatio-temporal documents, and future perspectives.

Table of Contents

1 Introduction 1(8)
Manolis Koubarakis, Timos Sellis
1.1 Why Databases?
1(1)
1.2 CHOROCHRONOS
2(1)
1.3 Contributions
3(1)
1.4 Organization of the Book
4(1)
References
5(4)
2 Ontology for Spatlo-temporal Databases 9(69)
Andrew U. Frank
2.1 Introduction
11(2)
2.1.1 Ontology to Drive Information System Design
11(1)
2.1.2 Ontological Problems of Geographic Information Systems and Other Spatio-temporal Information Systems
12(1)
2.1.3 Structure of the Chapter
13(1)
2.2 The Notion of Ontology
13(2)
2.2.1 Classical View
13(1)
2.2.2 Social Reality
14(1)
2.3 Application Domains
15(3)
2.3.1 Table-Top Situation
16(1)
2.3.2 Cityscape
17(1)
2.3.3 Geographic Landscape
18(1)
2.4 Model of Information Systems
18(6)
2.4.1 Information Systems as Vehicles of Exchange between Multiple Agents
20(2)
2.4.2 Correctness of Information System Related to Observations 2l
2.4.3 Semantics for Terms in Information Systems
22(1)
2.4.4 Grounding of Semantics in Physical Operations
23(1)
2.5 The Five Tiers of the Ontology
24(6)
2.5.1 Physical Reality Seen as an Ontology of a Four-Dimensional Field
24(1)
2.5.2 Observation of Physical Reality
25(1)
2.5.3 Operations and Ontology of Individuals
26(3)
2.5.4 Social Ontology
29(1)
2.5.5 Ontology of Cognitive Agents
30(1)
2.6 The Language to Describe the Ontology
30(6)
2.6.1 Tools to Implement Ontologies
32(3)
2.6.2 Multi-agent Systems and Formalization of Database Ontologies
35(1)
2.7 Ontological Tier 0: Ontology of the Physical Reality
36(2)
2.7.1 Properties
37(1)
2.7.2 Physical Space-Time Field
38(1)
2.8 Ontological Tier 1: Our Limited Knowledge of the World through Observations of Reality
38(2)
2.8.1 Observations
38(2)
2.8.2 Measurement Units
40(1)
2.8.3 Classification of Values
41(1)
2.8.4 Special Observations: Points in Space and Time
42(2)
2.8.5 Approximate Location
44(2)
2.8.6 Discretization and Sampling
46(1)
2.8.7 Virtual Datasets: Validity of Values
47
2.9 Ontological Tier 2: Representation - World of Individual Objects
40(17)
2.9.1 Objects Are Defined by Uniform Properties
49(1)
2.9.2 Geometry of Objects
49(3)
2.9.3 Properties of Objects
52(1)
2.9.4 Geographic Objects Are not Solid Bodies
52(1)
2.9.5 Objects Endure in Time
52(4)
2.9.6 Temporal, but A-Spatial Objects
56(1)
2.10 Ontological Tier 3: Socially Constructed Reality
57(4)
2.10.1 Social Reality Is Real within a Context
57(1)
2.10.2 Names
58(1)
2.10.3 Institutional Reality
59(2)
2.11 Ontological Tier 4: Modeling Cognitive Agents 8I
2.11.1 Logical Deduction
61(1)
2.11.2 Two Time Perspectives
62(1)
2.11.3 Sources of Knowledge
63(1)
2.12 Ontological Commitments Necessary for a Spatio-temporal Database
64(2)
2.12.1 Existence of a Single Reality
64(1)
2.12.2 Values for Properties Can Be Observed
64(1)
2.12.3 Assume Space and Time
64(1)
2.12.4 Observations Are Necessarily Limited
64(1)
2.12.5 Processes Determine Objects
65(1)
2.12.6 Names of Objects
65(1)
2.12.7 Social, Especially Institutionally Constructed Reality
65(1)
2.12.8 Knowledge of an Agent Is Changing in Time
65(1)
2.13 Conclusions
66(1)
References
67(11)
3 Conceptual Models for Spatio-temporal Applications 78(39)
Nectaria Tryfona, Rosanne Price, Christian S. Jensen
3.1 Motivation
79(1)
3.2 Foundations
80(2)
3.3 Spatio-temporal Entity-Relationship Model
82(13)
3.3.1 Extending the ER with Constructs
82(9)
3.3.2 A Textual Notation for STER
91(2)
3.3.3 Example of Usage of STER
93(2)
6.4 Spatio-temporal Unified Modeling Language
95(16)
3.4.1 Using UML Core Constructs for Spatio-temporal Data
95(4)
3.4.2 Overview of Extended Spatio-temporal UML
99(1)
3.4.3 Basic Constructs: Spatial, Temporal, Thematic
99(10)
3.4.4 Additional Constructs: Specification Box, Existence Time, and Groups
109(1)
3.4.5 Example of Usage
110(1)
3.5 Related work
111(3)
3.6 Conclusions
114(1)
References
114(3)
4 Spatio-temporal Models and Languages: An Approach Based on Data Types 117(60)
Ralf Hartmut Güting, Michael H. Böhlen, Martin Erwig, Christian S. Jensen, Ninos Lorentzos, Enrico Nardelli, Martius Schneider, Jose R.R. Viqueira
4.1 Introduction
117(2)
4.2 The Data Type Approach
119(10)
4.2.1 Motivation
119(2)
4.2.2 Modeling
121(2)
4.2.3 Some Example Queries
123(2)
4.2.4 Some Basic Issues
125(4)
4.3 An Abstract Model: A Foundation for Representing and Querying Moving Objects
129(17)
4.3.1 Spatio-temporal Data Types
129(4)
4.3.2 Language Embedding of Abstract Data Types
133(1)
4.3.3 Overview of Data Type Operations
134(1)
4.3.4 Operations on Non-temporal Types
135(5)
4.3.5 Operations on Temporal Types
140(5)
4.3.6 Application Example
145(1)
4.3.7 Summary
146(1)
4.4 A Discrete Model: Data Structures for Moving Objects Databases
146(14)
4.4.1 Overview
146(3)
4.4.2 Definition of Discrete Data Types
149(11)
4.5 Outlook
160(14)
4.5.1 Spatio-temporal Predicates and Developments
160(4)
4.5.2 Spatio-temporal Partitions
164(3)
4.5.3 On a Spatio-temporal Relational Model Based on Quanta
167(3)
4.5.4 Spatio-temporal Statement Modifiers
170(4)
References
174(3)
5 Spatio-temporal Models and Languages: An Approach Based on Constraints 177(26)
Stephane Grumbach, Manolis Koubarakis, Philippe Rigaux, Michel Scholl, Spiros Skiadopoulos
5.1 Introduction
177(2)
5.2 Representing Spatiotemporal Information Using Constraints
179(4)
5.2.1 An Algebra for Relations with Constraints
181(2)
5.3 Indefinite Information in Spatiotemporal Databases
183(7)
5.3.1 Querying Indefinite Information
186(4)
5.4 Beyond Flat Constraint Relations: The DEDALE Approach
190(4)
5.4.1 The DEDALE Algebra
192(2)
5.5 The User Query Language of DEDALE
194(4)
5.5.1 The Syntax
195(1)
5.5.2 Example Queries
196(2)
5.6 Conclusions
198(1)
References
199(4)
6 Access Methods and Query Processing Techniques 203(60)
Adriano Di Pasquale, Luca Forlizzi, Christian S. Jensen, Yannis Manolopoulos, Enrico Nardelli, Dieter Pfoser, Guido Proietti, Simonas Saltenis, Yannis Theodoridis, Theodorus Tzouramanis, Michael Vassilakopoulos
6.1 Introduction
203(1)
6.2 R-Tree-Based Methods
204(17)
6.2.1 Preliminary Approaches
204(3)
6.2.2 The Spatio-bitemporal R-Tree
207(5)
6.2.3 The Time-Parameterized R-Tree
212(5)
6.2.4 Trajectory Bundle
217(4)
6.3 Quadtree-Based Methods
221(15)
6.3.1 The MOE-Tree
222(3)
6.3.2 The MOF+-Tree
225(2)
6.3.3 Overlapping Linear Quadtrees
227(4)
6.3.4 Multiversion Linear Quadtree
231(5)
6.4 Data Structures and Algorithms for the Discrete Model
236(8)
6.4.1 Data Structures
236(3)
6.4.2 Two Example Algorithms
239(5)
6.5 Benchmarking and Data Generation
244(4)
6.5.1 Benchmarking
244(2)
6.5.2 Data Generation
246(2)
6.6 Distribution and Optimization Issues
248(5)
6.6.1 Distributed Indexing Techniques
248(3)
6.6.2 Query Optimization
251(2)
6.7 Related Work
253(2)
6.8 Conclusions
255(1)
References
255(8)
7 Architectures and Implementations of Spatio-temporal Database Management Systems 263(56)
Martin Breunig, Can Türher, Michael H. Böhlen, Stefan Dieker, Ralf Hartmut Güting, Christian S. Jensen, Lukas Relly, Philippe Rigaux, Hans-Jörg Schek, Michel Scholl
7.1 Introduction
263(1)
7.2 Architectural Aspects
263(7)
7.2.1 The Layered Architecture
264(2)
7.2.2 The Monolithic Architecture
266(1)
7.2.3 The Extensible Architecture
266(1)
7.2.4 Commercial Approaches to Spatial-temporal Extensions
267(3)
7.3 The Concert Prototype System
270(9)
7.3.1 Introduction
270(1)
7.3.2 Architecture
270(2)
7.3.3 Spatio-temporal Extensions
272(3)
7.3.4 Implementation Details
275(1)
7.3.5 Case Studies
276(3)
7.4 The Secondo Prototype System
279(11)
7.4.1 Introduction
279(1)
7.4.2 Second-Order Signature
280(3)
7.4.3 Architecture
283(5)
7.4.4 Implementing Spatio-temporal Algebra Modules
288(2)
7.5 The Dedale Prototype System
290(7)
7.5.1 Introduction
290(1)
7.5.2 Interpolation in the Constraint Model: Representation of Moving Objects
291(1)
7.5.3 Architecture
292(1)
7.5.4 Implementation Details
293(1)
7.5.5 Example of Query Evaluation
294(3)
7.6 The Tiger Prototype System
297(6)
7.6.1 Introduction
297(1)
7.6.2 Architecture
297(1)
7.6.3 Spatio-temporal Extensions
298(2)
7.6.4 TIGER'S Implementation
300(2)
7.6.5 Processing Queries Using External Modules-Case Study
302(1)
7.7 The GeoToolKit Prototype System
303(7)
7.7.1 Introduction
303(1)
7.7.2 Architecture
304(1)
7.7.3 Spatio-temporal Extensions
305(3)
7.7.4 Implementation Details
308(1)
7.7.5 Case Studies
309(1)
7.8 Conclusions
310(3)
References
313(6)
4 Advanced Uses: Composing Interactive Spatio-temporal Documents 319(26)
Isabelle Mirbel, Barbara Pernici, Babis Theodoulidis, Alex Vakalondis, Michalis Vazirgiannis
8.1 Introduction
319(1)
8.2 Interactive Presentations and Spatio-temporal Databases
320(1)
8.3 Modeling the Components of Spatio-temporal Interactive Documents
321(9)
8.3.1 Particularities of 3D-Spatio-temporal Modeling for Scenario Components
321(1)
8.3.2 Meta-modeling
322(3)
8.3.3 Temporal Semantics
325(2)
8.3.4 3D-Spatial Semantics
327(1)
8.3.5 3D-Spatio-temporal Semantics
328(2)
8.4 Modeling of Spatio-temporal Behavior
330(5)
8.4.1 Modeling Interaction with Events
330(5)
8.5 Database Support for Scenario Components
335(3)
8.5.1 Querying and Accessing Stored Components
336(2)
8.5.2 A Global Architecture
338(1)
8.6 Examples of Applications
338(2)
8.7 Related Work
340(3)
8.8 Conclusions
343(1)
References
344(1)
9 Spatio-temporal Databases in the Years Ahead 345(4)
Manolis Konbarakis, Yannis Theodoridis, Timos Sellis
9.1 Introduction
345(1)
9.2 Mobile and Wireless Computing
345(1)
9.3 Data Warehousing and Mining
346(1)
9.4 The Semantic Web
346(1)
9.5 Conclusions
346(1)
References
347(2)
List of Contributors 349

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