Introduction / Manolis Koubarakis ; Timos Sellis1: |
Why Spatio-temporal Databases? / 1.1: |
Chorochronos / 1.2: |
Contributions / 1.3: |
Organization of the Book / 1.4: |
References |
Ontology for Spatio-temporal Databases / Andrew U. Frank2: |
Ontology to Drive Information System Design / 2.1: |
Ontological Problems of Geographic Information Systems and Other Spatio-temporal Information Systems / 2.1.2: |
Structure of the Chapter / 2.1.3: |
The Notion of Ontology / 2.2: |
Classical View / 2.2.1: |
Social Reality / 2.2.2: |
Application Domains / 2.3: |
Table-Top Situation / 2.3.1: |
Cityscape / 2.3.2: |
Geographic Landscape / 2.3.3: |
Model of Information Systems / 2.4: |
Information Systems as Vehicles of Exchange between Multiple Agents / 2.4.1: |
Correctness of Information System Related to Observations / 2.4.2: |
Semantics for Terms in Information Systems / 2.4.3: |
Grounding of Semantics in Physical Operations / 2.4.4: |
The Five Tiers of the Ontology / 2.5: |
Physical Reality Seen as an Ontology of a Four-Dimensional Field / 2.5.1: |
Observation of Physical Reality / 2.5.2: |
Operations and Ontology of Individuals / 2.5.3: |
Social Ontology / 2.5.4: |
Ontology of Cognitive Agents / 2.5.5: |
The Language to Describe the Ontology / 2.6: |
Tools to Implement Ontologies / 2.6.1: |
Multi-agent Systems and Formalization of Database Ontologies / 2.6.2: |
Ontological Tier 0: Ontology of the Physical Reality / 2.7: |
Properties / 2.7.1: |
Physical Space-Time Field / 2.7.2: |
Ontological Tier 1: Our Limited Knowledge of the World through Observations of Reality / 2.8: |
Observations / 2.8.1: |
Measurement Units / 2.8.2: |
Classification of Values / 2.8.3: |
Special Observations: Points in Space and Time / 2.8.4: |
Approximate Location / 2.8.5: |
Discretization and Sampling / 2.8.6: |
Virtual Datasets: Validity of Values / 2.8.7: |
Ontological Tier 2: Representation - World of Individual Objects / 2.9: |
Objects Are Defined by Uniform Properties / 2.9.1: |
Geometry of Objects / 2.9.2: |
Properties of Objects / 2.9.3: |
Geographic Objects Are not Solid Bodies / 2.9.4: |
Objects Endure in Time / 2.9.5: |
Temporal, but A-Spatial Objects / 2.9.6: |
Ontological Tier 3: Socially Constructed Reality / 2.10: |
Social Reality Is Real within a Context / 2.10.1: |
Names / 2.10.2: |
Institutional Reality / 2.10.3: |
Ontological Tier 4: Modeling Cognitive Agents / 2.11: |
Logical Deduction / 2.11.1: |
Two Time Perspectives / 2.11.2: |
Sources of Knowledge / 2.11.3: |
Ontological Commitments Necessary for a Spatio-temporal Database / 2.12: |
Existence of a Single Reality / 2.12.1: |
Values for Properties Can Be Observed / 2.12.2: |
Assume Space and Time / 2.12.3: |
Observations Are Necessarily Limited / 2.12.4: |
Processes Determine Objects / 2.12.5: |
Names of Objects / 2.12.6: |
Social, Especially Institutionally Constructed Reality / 2.12.7: |
Knowledge of an Agent Is Changing in Time / 2.12.8: |
Conclusions / 2.13: |
Conceptual Models for Spatio-temporal Applications / Nectaria Tryfona ; Rosanne Price ; Christian S. Jensen3: |
Motivation / 3.1: |
Spatio-temporal Foundations / 3.2: |
Spatio-temporal Entity-Relationship Model / 3.3: |
Extending the ER with Spatio-temporal Constructs / 3.3.1: |
A Textual Notation for STER / 3.3.2: |
Example of Usage of STER / 3.3.3: |
Spatio-temporal Unified Modeling Language / 3.4: |
Using UML Core Constructs for Spatio-temporal Data / 3.4.1: |
Overview of Extended Spatio-temporal UML / 3.4.2: |
Basic Constructs: Spatial, Temporal, Thematic / 3.4.3: |
Additional Constructs: Specification Box, Existence Time, and Groups / 3.4.4: |
Example of Usage / 3.4.5: |
Related Work / 3.5: |
Spatio-temporal Models and Languages: An Approach Based on Data Types / Ralf Hartmut Güting ; Michael H. Böhlen ; Martin Erwig ; Nikos Lorentzos ; Enrico Nardelli ; Markus Schneider ; Jose R.R. Viqueira3.6: |
The Data Type Approach / 4.1: |
Modeling / 4.2.1: |
Some Example Queries / 4.2.3: |
Some Basic Issues / 4.2.4: |
An Abstract Model: A Foundation for Representing and Querying Moving Objects / 4.3: |
Spatio-temporal Data Types / 4.3.1: |
Language Embedding of Abstract Data Types / 4.3.2: |
Overview of Data Type Operations / 4.3.3: |
Operations on Non-temporal Types / 4.3.4: |
Operations on Temporal Types / 4.3.5: |
Application Example / 4.3.6: |
Summary / 4.3.7: |
A Discrete Model: Data Structures for Moving Objects Databases / 4.4: |
Overview / 4.4.1: |
Definition of Discrete Data Types / 4.4.2: |
Outlook / 4.5: |
Spatio-temporal Predicates and Developments / 4.5.1: |
Spatio-temporal Partitions / 4.5.2: |
On a Spatio-temporal Relational Model Based on Quanta / 4.5.3: |
Spatio-temporal Statement Modifiers / 4.5.4: |
Spatio-temporal Models and Languages: An Approach Based on Constraints / Stéphane Grumbach ; Philippe Rigaux ; Michel Scholl ; Spiros Skiadopoulos5: |
Representing Spatio-temporal Information Using Constraints / 5.1: |
An Algebra for Relations with Constraints / 5.2.1: |
Indefinite Information in Spatio-temporal Databases / 5.3: |
Querying Indefinite Information / 5.3.1: |
Beyond Flat Constraint Relations: The dedale Approach / 5.4: |
The dedale Algebra / 5.4.1: |
The User Query Language of dedale / 5.5: |
The Syntax / 5.5.1: |
Example Queries / 5.5.2: |
Access Methods and Query Processing Techniques / Adriano Di Pasquale ; Luca Forlizzi ; Yannis Manolopoulos ; Dieter Pfoser ; Guido Proietti ; Simonas èaltenis ; Yannis Theodoridis ; Theodoros Tzouramanis ; Michael Vassilakopoulos5.6: |
R-Tree-Based Methods / 6.1: |
Preliminary Approaches / 6.2.1: |
The Spatio-bitemporal R Tree / 6.2.2: |
The Time-Parameterized R Tree / 6.2.3: |
Trajectory Bundle / 6.2.4: |
Quadtree-Based Methods / 6.3: |
The MOF Tree / 6.3.1: |
The MOF+-Tree / 6.3.2: |
Overlapping Linear Quadtrees / 6.3.3: |
Multiversion Linear Quadtree / 6.3.4: |
Data Structures and Algorithms for the Discrete Model / 6.4: |
Data Structures / 6.4.1: |
Two Example Algorithms / 6.4.2: |
Benchmarking and Data Generation / 6.5: |
Benchmarking / 6.5.1: |
Data Generation / 6.5.2: |
Distribution and Optimization Issues / 6.6: |
Distributed Indexing Techniques / 6.6.1: |
Query Optimization / 6.6.2: |
Architectures and Implementations of Spatio-temporal Database Management Systems / Martin Breunig ; Can Türker ; Stefan Dieker ; Lukas Relly ; Hans-Jörg Schek ; Michel Scholl|p2636.7: |
Architectural Aspects / 7.1: |
The Layered Architecture / 7.2.1: |
The Monolithic Architecture / 7.2.2: |
The Extensible Architecture / 7.2.3: |
Commercial Approaches to Spatial-temporal Extensions / 7.2.4: |
The Concert Prototype System / 7.3: |
Architecture / 7.3.1: |
Spatio-temporal Extensions / 7.3.3: |
Implementation Details / 7.3.4: |
Case Studies / 7.3.5: |
The Secondo Prototype System / 7.4: |
Second-Order Signature / 7.4.1: |
Implementing Spatio-temporal Algebra Modules / 7.4.3: |
The Dedale Prototype System / 7.5: |
Interpolation in the Constraint Model: Representation of Moving Objects / 7.5.1: |
Example of Query Evaluation / 7.5.3: |
The Tiger Prototype System / 7.6: |
Tiger's Implementation / 7.6.1: |
Processing Queries Using External Modules-Case Study / 7.6.5: |
The GeoToolKit Prototype System / 7.7: |
CaseStudies / 7.7.1: |
Advanced Uses: Composing Interactive Spatio-temporal Documents / Isabelle Mirbel ; Barbara Pernici ; Babis Theodoulidis ; Alex Vakaloudis ; Michalis Vazirgiannis7.8: |
Interactive Presentations and Spatio-temporal Databases / 8.1: |
Modeling the Components of Spatio-temporal Interactive Documents / 8.3: |
Particularities of 3D-Spatio-temporal Modeling for ScenarioComponents / 8.3.1: |
Meta-modeling / 8.3.2: |
Temporal Semantics / 8.3.3: |
3D-Spatial Semantics / 8.3.4: |
3D-Spatio-temporal Semantics / 8.3.5: |
Modeling of Spatio-temporal Behavior / 8.4: |
Modeling Interaction with Events / 8.4.1: |
Database Support for Scenario Components / 8.5: |
Querying and Accessing Stored Components / 8.5.1: |
A Global Architecture / 8.5.2: |
Examples of Applications / 8.6: |
Spatio-temporal Databases in the Years Ahead / 8.7: |
Mobile and Wireless Computing / 9.1: |
Data Warehousing and Mining / 9.3: |
The Semantic Web / 9.4: |
List of Contributors / 9.5: |
Introduction / Manolis Koubarakis ; Timos Sellis1: |
Why Spatio-temporal Databases? / 1.1: |
Chorochronos / 1.2: |