Moving Objects Databases:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
San Francisco
Elsevier
Morgan Kaufmann Publishers
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Hier auch später erschienene, unveränderte Nachdrucke |
| Physical Description: | XXI, 388 Seiten graph. Darst. |
| ISBN: | 9780120887996 0120887991 |
Staff View
MARC
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| 100 | 1 | |a Güting, Ralf Hartmut |d 1955- |e Verfasser |0 (DE-588)123641640 |4 aut | |
| 245 | 1 | 0 | |a Moving Objects Databases |c Ralf Hartmut Güting, Markus Schneider |
| 264 | 1 | |a San Francisco |b Elsevier |c Morgan Kaufmann Publishers | |
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Record in the Search Index
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| adam_text | Contents
Foreword xv
Preface xvii
Chapter I Introduction I
I. I Database Management Systems I
1.2 Spatial Databases 3
! .2.1 Modeling Spatial Concepts 4
1.2.2 Extending Data Model and Query Language 6
1.2.3 Implementation Strategy 9
1.3 Temporal Databases 9
1.3.1 Managing Time in Standard Databases 9
1.3.2 The Time Domain 10
1.3.3 Time Dimensions I I
1.3.4 Extending the Data Model 12
1.3.5 Extending the Query Language: TSQL2 19
i .4 Moving Objects 21
1.4.1 The Location Management Perspective 21
1.4.2 The Spatio-Temporal Data Perspective 22
1.4.3 Moving Objects and Questions about Them 23
1.4.4 A Classification of Spatio-Temporal Data 23
1.4.5 Temporal Databases with Spatial Data Types 26
1.4.6 Spatio-Temporal Data Types 27
1.5 Further Exercises 29
1.6 Bibliographic Notes 30
ix
x Contents
Chapter 2 Spatio-Temporal Databases in the Past 33
2.1 Spatio-Bitemporal Objects 33
2.1.1 An Application Scenario 33
2.1.2 Bitemporal Elements 35
2.1.3 Spatial Objects Modeled as Simplicial Complexes 36
2.1.4 Spatio-Bitemporal Objects 39
2.1.5 Spatio-Bitemporal Operations 41
2.1.6 Querying 46
2.2 An Event-Based Approach 48
2.2.1 The Model 48
2.2.2 Query Processing Algorithms 51
2.3 Further Exercises 53
2.4 Bibliographic Notes 54
Chapter 3 Modeling and Querying Current Movement 57
3.1 Location Management 57
3.2 MOST—A Data Model for Current and Future Movement 59
3.2.1 Basic Assumptions 59
3.2.2 Dynamic Attributes 60
3.2.3 Representing Object Positions 61
3.2.4 Database Histories 61
3.2.5 Three Types of Queries 62
3.3 FTL—A Query Language Based on Future Temporal Logic 64
3.3.1 Some Example Queries 64
3.3.2 Syntax 66
3.3.3 Semantics 68
3.3.4 Evaluating FTL Queries 71
3.4 Location Updates—Balancing Update Cost and Imprecision 77
3.4.1 Background 77
3.4.2 The Information Cost of a Trip 78
3.4.3 Cost-Based Optimization for Dead-Reckoning Policies 80
3.4.4 Dead-Reckoning Location Update Policies 82
3.5 The Uncertainty of the Trajectory of a Moving Object 84
3.5.1 A Model of a Trajectory 85
3.5.2 Uncertainty Concepts for Trajectories 86
3.5.3 Querying Moving Objects with Uncertainty 88
3.5.4 Algorithms for Spatio-Temporal Operations and
Predicates 91
3.6 Further Exercises 95
3.7 Bibliographic Notes 97
Contents xi
Chapter 4 Modeling and Querying History of Movement 99
4.1 An Approach Based on Abstract Data Types 99
4.1.1 Types and Operations 99
4.1.2 Abstract versus Discrete Models 102
4.1.3 Language Embedding of Abstract Data Types 104
4.2 An Abstract Model 105
4.2.1 Data Types 106
4.2.2 Formal Definition of Data Types 108
4.2.3 Overview of Operations 113
4.2.4 Operations on Nontemporal Types I 14
4.2.5 Operations on Temporal Types 121
4.2.6 Operations on Sets of Objects 133
4.3 A Discrete Model 136
4.3.1 Overview 136
4.3.2 Nontemporal Types 139
4.3.3 Temporal Types 143
4.4 Spatio-Temporal Predicates and Developments 150
4.4.1 Motivation 151
4.4.2 Topological Predicates for Spatial Objects 152
4.4.3 The Problem of Temporally Lifting Topological Predicates 155
4.4.4 Temporal Aggregation 156
4.4.5 Basic Spatio-Temporal Predicates 157
4.4.6 Developments: Sequences of Spatio-Temporal Predicates 159
4.4.7 A Concise Syntax for Developments 162
4.4.8 An Algebra of Spatio-Temporal Predicates 165
4.4.9 Examples 172
4.4.10 A Canonical Collection of Spatio-Temporal Predicates 174
4.4.11 Querying Developments in STQL 177
4.5 Further Exercises 181
4.6 Bibliographic Notes 184
Chapter 5 Data Structures and Algorithms for Moving Objects Types 187
5.1 Data Structures 187
5.1.1 General Requirements and Strategy 187
5.1.2 Nontemporal Data Types 188
5.1.3 Temporal Data Types 190
5.2 Algorithms for Operations on Temporal Data Types 192
5.2.1 Common Considerations 192
5.2.2 Projection to Domain and Range 195
5.2.3 Interaction with Domain/Range 197
5.2.4 Rate of Change 202
xii Contents
5.3 Algorithms for Lifted Operations 204
5.3.1 Predicates 205
5.3.2 Set Operations 208
5.3.3 Aggregation 210
5.3.4 Numeric Properties 211
5.3.5 Distance and Direction 212
5.3.6 Boolean Operations 215
5.4 Further Exercises 215
5.5 Bibliographic Notes 216
Chapter 6 The Constraint Database Approach 217
6.1 An Abstract Model: Infinite Relations 218
6.1.1 Flat Relations 218
6.1.2 Nested Relations 223
6.1.3 Conclusion 225
6.2 A Discrete Model: Constraint Relations 225
6.2.1 Spatial Modeling with Constraints 225
6.2.2 The Linear Constraint Data Model 229
6.2.3 Relational Algebra for Constraint Relations 230
6.3 Implementation of the Constraint Model 239
6.3.1 Representation of Relations 239
6.3.2 Representation of Symbolic Relations (Constraint Formulas) 239
6.3.3 Data Loading and Conversion 240
6.3.4 Normalization of Symbolic Tuples 250
6.3.5 Implementation of Algebra Operations 254
6.4 Further Exercises 257
6.5 Bibliographic Notes 259
Chapter 7 Spatio-Temporal Indexing 261
7.1 Geometric Preliminaries 262
7.1.1 Indexing Multidimensional Space with the R-tree Family 262
7.1.2 Duality 266
7.1.3 External Partition Tree 267
7.1.4 Catalog Structure 270
7.1.5 External Priority Search Tree 271
7.1.6 External Range Tree 272
7.2 Requirements for Indexing Moving Objects 274
7.2.1 Specifics of Spatio-Temporal Index Structures 274
7.2.2 Specification Criteria for Spatio-Temporal Index Structures 277
7.2.3 A Survey of STAMs in the Past 279
Contents xiii
7.3 Indexing Current and Near-Future Movement 281
7.3.1 General Strategies 282
7.3.2 The TPR-tree 283
7.3.3 The Dual Data Transformation Approach 292
7.3.4 Time-Oblivious Indexing with Multilevel Partition Trees 299
7.3.5 Kinetic B-trees 301
7.3.6 Kinetic External Range Trees 301
7.3.7 Time-Responsive Indexing with Multiversion Kinetic B-trees 303
7.3.8 Time-Responsive Indexing with Multiversion External
Kinetic Range Trees 304
7.4 Indexing Trajectories (History of Movement) 306
7.4.1 TheSTR-tree 307
7.4.2 The TB-tree 310
7.4.3 Query Processing 312
7.5 Further Exercises 316
7.6 Bibliographic Notes 319
Chapter 8 Outlook 321
8.1 Data Capture 321
8.2 Generating Test Data 322
8.3 Movement in Networks 323
8.4 Query Processing for Continuous/Location-Based Queries 325
8.5 Aggregation and Selectivity Estimation 326
Solutions to Exercises in the Text 329
Bibliography 357
Citation Index 371
Index 375
About the Authors 389
|
| adam_txt |
Contents
Foreword xv
Preface xvii
Chapter I Introduction I
I. I Database Management Systems I
1.2 Spatial Databases 3
! .2.1 Modeling Spatial Concepts 4
1.2.2 Extending Data Model and Query Language 6
1.2.3 Implementation Strategy 9
1.3 Temporal Databases 9
1.3.1 Managing Time in Standard Databases 9
1.3.2 The Time Domain 10
1.3.3 Time Dimensions I I
1.3.4 Extending the Data Model 12
1.3.5 Extending the Query Language: TSQL2 19
i .4 Moving Objects 21
1.4.1 The Location Management Perspective 21
1.4.2 The Spatio-Temporal Data Perspective 22
1.4.3 Moving Objects and Questions about Them 23
1.4.4 A Classification of Spatio-Temporal Data 23
1.4.5 Temporal Databases with Spatial Data Types 26
1.4.6 Spatio-Temporal Data Types 27
1.5 Further Exercises 29
1.6 Bibliographic Notes 30
ix
x Contents
Chapter 2 Spatio-Temporal Databases in the Past 33
2.1 Spatio-Bitemporal Objects 33
2.1.1 An Application Scenario 33
2.1.2 Bitemporal Elements 35
2.1.3 Spatial Objects Modeled as Simplicial Complexes 36
2.1.4 Spatio-Bitemporal Objects 39
2.1.5 Spatio-Bitemporal Operations 41
2.1.6 Querying 46
2.2 An Event-Based Approach 48
2.2.1 The Model 48
2.2.2 Query Processing Algorithms 51
2.3 Further Exercises 53
2.4 Bibliographic Notes 54
Chapter 3 Modeling and Querying Current Movement 57
3.1 Location Management 57
3.2 MOST—A Data Model for Current and Future Movement 59
3.2.1 Basic Assumptions 59
3.2.2 Dynamic Attributes 60
3.2.3 Representing Object Positions 61
3.2.4 Database Histories 61
3.2.5 Three Types of Queries 62
3.3 FTL—A Query Language Based on Future Temporal Logic 64
3.3.1 Some Example Queries 64
3.3.2 Syntax 66
3.3.3 Semantics 68
3.3.4 Evaluating FTL Queries 71
3.4 Location Updates—Balancing Update Cost and Imprecision 77
3.4.1 Background 77
3.4.2 The Information Cost of a Trip 78
3.4.3 Cost-Based Optimization for Dead-Reckoning Policies 80
3.4.4 Dead-Reckoning Location Update Policies 82
3.5 The Uncertainty of the Trajectory of a Moving Object 84
3.5.1 A Model of a Trajectory 85
3.5.2 Uncertainty Concepts for Trajectories 86
3.5.3 Querying Moving Objects with Uncertainty 88
3.5.4 Algorithms for Spatio-Temporal Operations and
Predicates 91
3.6 Further Exercises 95
3.7 Bibliographic Notes 97
Contents xi
Chapter 4 Modeling and Querying History of Movement 99
4.1 An Approach Based on Abstract Data Types 99
4.1.1 Types and Operations 99
4.1.2 Abstract versus Discrete Models 102
4.1.3 Language Embedding of Abstract Data Types 104
4.2 An Abstract Model 105
4.2.1 Data Types 106
4.2.2 Formal Definition of Data Types 108
4.2.3 Overview of Operations 113
4.2.4 Operations on Nontemporal Types I 14
4.2.5 Operations on Temporal Types 121
4.2.6 Operations on Sets of Objects 133
4.3 A Discrete Model 136
4.3.1 Overview 136
4.3.2 Nontemporal Types 139
4.3.3 Temporal Types 143
4.4 Spatio-Temporal Predicates and Developments 150
4.4.1 Motivation 151
4.4.2 Topological Predicates for Spatial Objects 152
4.4.3 The Problem of Temporally Lifting Topological Predicates 155
4.4.4 Temporal Aggregation 156
4.4.5 Basic Spatio-Temporal Predicates 157
4.4.6 Developments: Sequences of Spatio-Temporal Predicates 159
4.4.7 A Concise Syntax for Developments 162
4.4.8 An Algebra of Spatio-Temporal Predicates 165
4.4.9 Examples 172
4.4.10 A Canonical Collection of Spatio-Temporal Predicates 174
4.4.11 Querying Developments in STQL 177
4.5 Further Exercises 181
4.6 Bibliographic Notes 184
Chapter 5 Data Structures and Algorithms for Moving Objects Types 187
5.1 Data Structures 187
5.1.1 General Requirements and Strategy 187
5.1.2 Nontemporal Data Types 188
5.1.3 Temporal Data Types 190
5.2 Algorithms for Operations on Temporal Data Types 192
5.2.1 Common Considerations 192
5.2.2 Projection to Domain and Range 195
5.2.3 Interaction with Domain/Range 197
5.2.4 Rate of Change 202
xii Contents
5.3 Algorithms for Lifted Operations 204
5.3.1 Predicates 205
5.3.2 Set Operations 208
5.3.3 Aggregation 210
5.3.4 Numeric Properties 211
5.3.5 Distance and Direction 212
5.3.6 Boolean Operations 215
5.4 Further Exercises 215
5.5 Bibliographic Notes 216
Chapter 6 The Constraint Database Approach 217
6.1 An Abstract Model: Infinite Relations 218
6.1.1 Flat Relations 218
6.1.2 Nested Relations 223
6.1.3 Conclusion 225
6.2 A Discrete Model: Constraint Relations 225
6.2.1 Spatial Modeling with Constraints 225
6.2.2 The Linear Constraint Data Model 229
6.2.3 Relational Algebra for Constraint Relations 230
6.3 Implementation of the Constraint Model 239
6.3.1 Representation of Relations 239
6.3.2 Representation of Symbolic Relations (Constraint Formulas) 239
6.3.3 Data Loading and Conversion 240
6.3.4 Normalization of Symbolic Tuples 250
6.3.5 Implementation of Algebra Operations 254
6.4 Further Exercises 257
6.5 Bibliographic Notes 259
Chapter 7 Spatio-Temporal Indexing 261
7.1 Geometric Preliminaries 262
7.1.1 Indexing Multidimensional Space with the R-tree Family 262
7.1.2 Duality 266
7.1.3 External Partition Tree 267
7.1.4 Catalog Structure 270
7.1.5 External Priority Search Tree 271
7.1.6 External Range Tree 272
7.2 Requirements for Indexing Moving Objects 274
7.2.1 Specifics of Spatio-Temporal Index Structures 274
7.2.2 Specification Criteria for Spatio-Temporal Index Structures 277
7.2.3 A Survey of STAMs in the Past 279
Contents xiii
7.3 Indexing Current and Near-Future Movement 281
7.3.1 General Strategies 282
7.3.2 The TPR-tree 283
7.3.3 The Dual Data Transformation Approach 292
7.3.4 Time-Oblivious Indexing with Multilevel Partition Trees 299
7.3.5 Kinetic B-trees 301
7.3.6 Kinetic External Range Trees 301
7.3.7 Time-Responsive Indexing with Multiversion Kinetic B-trees 303
7.3.8 Time-Responsive Indexing with Multiversion External
Kinetic Range Trees 304
7.4 Indexing Trajectories (History of Movement) 306
7.4.1 TheSTR-tree 307
7.4.2 The TB-tree 310
7.4.3 Query Processing 312
7.5 Further Exercises 316
7.6 Bibliographic Notes 319
Chapter 8 Outlook 321
8.1 Data Capture 321
8.2 Generating Test Data 322
8.3 Movement in Networks 323
8.4 Query Processing for Continuous/Location-Based Queries 325
8.5 Aggregation and Selectivity Estimation 326
Solutions to Exercises in the Text 329
Bibliography 357
Citation Index 371
Index 375
About the Authors 389 |
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| author | Güting, Ralf Hartmut 1955- |
| author_GND | (DE-588)123641640 (DE-588)1078875197 |
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| callnumber-sort | QA 276.9 D3 |
| callnumber-subject | QA - Mathematics |
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| ctrlnum | (OCoLC)255099171 (DE-599)BVBBV021292800 |
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| dewey-ones | 005 - Computer programming, programs, data, security |
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| dewey-search | 005.74 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
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| id | DE-604.BV021292800 |
| illustrated | Illustrated |
| index_date | 2024-07-02T13:50:20Z |
| indexdate | 2024-07-09T20:34:54Z |
| institution | BVB |
| isbn | 9780120887996 0120887991 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014613623 |
| oclc_num | 255099171 |
| open_access_boolean | |
| owner | DE-1051 DE-188 DE-473 DE-BY-UBG |
| owner_facet | DE-1051 DE-188 DE-473 DE-BY-UBG |
| physical | XXI, 388 Seiten graph. Darst. |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | Elsevier |
| record_format | marc |
| spelling | Güting, Ralf Hartmut 1955- Verfasser (DE-588)123641640 aut Moving Objects Databases Ralf Hartmut Güting, Markus Schneider San Francisco Elsevier Morgan Kaufmann Publishers XXI, 388 Seiten graph. Darst. txt rdacontent n rdamedia nc rdacarrier Hier auch später erschienene, unveränderte Nachdrucke Computer animation Computer simulation Database management Räumliches Datenbanksystem Space and time - Data processing Visualization - Data processing Zeitliches Datenbanksystem Räumliches Datenbanksystem swd Zeitliches Datenbanksystem swd Bewegung (DE-588)4006311-2 gnd rswk-swf Geometrisches Objekt (DE-588)4156730-4 gnd rswk-swf Datenbanksystem (DE-588)4113276-2 gnd rswk-swf Geometrisches Objekt (DE-588)4156730-4 s Bewegung (DE-588)4006311-2 s Datenbanksystem (DE-588)4113276-2 s DE-604 Schneider, Markus Sonstige (DE-588)1078875197 oth Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014613623&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Güting, Ralf Hartmut 1955- Moving Objects Databases Computer animation Computer simulation Database management Räumliches Datenbanksystem Space and time - Data processing Visualization - Data processing Zeitliches Datenbanksystem Räumliches Datenbanksystem swd Zeitliches Datenbanksystem swd Bewegung (DE-588)4006311-2 gnd Geometrisches Objekt (DE-588)4156730-4 gnd Datenbanksystem (DE-588)4113276-2 gnd |
| subject_GND | (DE-588)4006311-2 (DE-588)4156730-4 (DE-588)4113276-2 |
| title | Moving Objects Databases |
| title_auth | Moving Objects Databases |
| title_exact_search | Moving Objects Databases |
| title_exact_search_txtP | Moving Objects Databases |
| title_full | Moving Objects Databases Ralf Hartmut Güting, Markus Schneider |
| title_fullStr | Moving Objects Databases Ralf Hartmut Güting, Markus Schneider |
| title_full_unstemmed | Moving Objects Databases Ralf Hartmut Güting, Markus Schneider |
| title_short | Moving Objects Databases |
| title_sort | moving objects databases |
| topic | Computer animation Computer simulation Database management Räumliches Datenbanksystem Space and time - Data processing Visualization - Data processing Zeitliches Datenbanksystem Räumliches Datenbanksystem swd Zeitliches Datenbanksystem swd Bewegung (DE-588)4006311-2 gnd Geometrisches Objekt (DE-588)4156730-4 gnd Datenbanksystem (DE-588)4113276-2 gnd |
| topic_facet | Computer animation Computer simulation Database management Räumliches Datenbanksystem Space and time - Data processing Visualization - Data processing Zeitliches Datenbanksystem Bewegung Geometrisches Objekt Datenbanksystem |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014613623&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT gutingralfhartmut movingobjectsdatabases AT schneidermarkus movingobjectsdatabases |