Research Issues in Spatio-temporal Database Systems - PowerPoint PPT Presentation

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Research Issues in Spatio-temporal Database Systems

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Fall 2000. CS 599 Spatial and Temporal Databases ... Simonas Saltenis, Christian S. Jensen, Scott T. Leutenegger and Mario A. Lopez ... – PowerPoint PPT presentation

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Title: Research Issues in Spatio-temporal Database Systems


1
Research Issues in Spatio-temporal Database
Systems
  • Timos Sellis
  • Presented by
  • Handy Patriawan

2
Introduction
  • Common techniques and tools
  • R-Tree for both Spatial and Temporal
  • Join Spatial and Temporal into one
  • Proposed name STDBMSs
  • Spatio-temporal DBMSs
  • Current application
  • Geographic Information Systems (GIS)
  • Environmental Information System
  • Multimedia

3
Introduction (contd)
  • Examples

4
Introduction (contd)
  • CHOROCHRONOS
  • http//www.chorochronos.com
  • Issues to be addressed
  • Ontology, structure and representation of space
    and time
  • Data model and query language
  • GUI
  • Query processing, storage and indexing techniques
  • Architecture

5
Introduction (contd)
  • Extension of Spatial or Temporal DBMSs is not
    enough
  • Adding Temporal support to SDBMSs
  • Adding Spatial support to TDBMSs
  • Final frontier unified Spatio-temporal DBMS
  • Spatio-temporal data structures, operators and
    user-interfaces

6
Issues
  • Ontological Issues
  • Ontology the study or concern about what kinds
    of things exist what entity there are in the
    universe (http//www.whatis.com)
  • Including Structure and Representation
  • Finding a common framework
  • E.g. common structure and representation

7
Issues
  • Ontological Issues (contd)
  • Ontology of spatial entities life and motion

8
Issues
  • Ontological Issues (contd)
  • Spatial objects are located somewhere in space

9
Issues
  • Models and Languages for STDBMSs
  • Focus on 3 topics
  • Language for spatio-temporal relations
  • Models and languages for STDBMSs
  • Design and techniques for STDBMSs
  • Research is divided into 2 categories
  • Tight integration of spatial temporal
  • Adding spatial support to temporal

10
Issues
  • Different classes of applications
  • Events in space time, Moving region, etc.
  • See 4 for more details
  • Different data structures operations has been
    defined as well (see 4)
  • E.g. mpoint x mpoint -gt mrealdistance

11
Issues
  • Constraint database models
  • Development in spatio-temporal constraint-based
    database model
  • Example DEDALE
  • Prototype of a constraint DBMS for
    spatio-temporal information
  • See http//www-rocq.inria.fr/verso/dedale/
  • See http//sikkim.cnam.fr/dedale.html
  • Still based on SQL
  • Display the parts of roads which is inside the
    rectangle RECT drawn on the screen
  • Select SELECT(r.geometry, RECT)From r in
    RoadsWhere Satisfy(SELECT(r.geometry, RECT))

12
Issues
  • Extending current SQL
  • STSQL
  • Allowing relations to have attributes that are
    spatial or temporal
  • Not intended for movement of continuously moving
    or changing objects

13
Proposed Indexing for Moving Object
  • Indexing the Positions of Continuously Moving
    Objects
  • Simonas Saltenis, Christian S. Jensen, Scott T.
    Leutenegger and Mario A. Lopez
  • Issues How can we index a moving object (and or
    changing object) during time periods?
  • Proposed solution
  • R-Tree with time as parameter (boring.)
  • Function

14
Function for Indexing Moving Objects
15
Storage, Indexing and Querying
  • Storage and Indexing
  • Support for motion
  • Benchmarking
  • Indexing R-Tree, Quadtree, etc.
  • Benchmark
  • Make sure to include everything needed
  • Test access method, data generation, query
    processing and result analysis
  • ---gt Common platform for benchmarking the STDBMS
    as a whole

16
Storage, Indexing and Querying
  • Query processing and optimization
  • Efficient access for spatial, temporal and
    spatio-temporal
  • Simple cost model for query optimization
  • Study of spatial and temporal constraint database

17
Conclusion
  • Good progress still more work is needed
  • Devising clean and complete semantics for data
    models and operators
  • Efficient implementation
  • Indexing and query optimization
  • Alternatives architectures for building STDBMSs
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