Query evaluation and presentation planning within a spatial mediator: Extending XML-based mediation to heterogeneous sources of GIS and imagery data

I. Zaslavsky, A. Gupta, B. Ludäscher, S. Tambawala

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper reviews challenges and accomplishments of spatial information mediation extending the SDSC MIX (mediation of information using XML) framework. enhancements to MIX necessitated by the spatio-temporal nature of queries and underlying GIS and imagery data sources, include mediator-level development of query evaluation and results presentation strategies which take into account the source data quality and query context, and define integrated views over heterogeneous sources in terms of mediation algebra for spatial types (MAST). Development of query and presentation plans at the spatial mediator is based on source schema and query capability descriptions exported by source wrappers. A set of tools supporting XML-based spatial markup, query and presentation is also introduced.

Original languageEnglish (US)
Title of host publicationProceedings - 12th International Workshop on Database and Expert Systems Applications, DEXA 2001
EditorsA. M. Tjoa, R.R. Wagner
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages853-855
Number of pages3
ISBN (Electronic)0769512305
DOIs
StatePublished - 2001
Externally publishedYes
Event12th International Workshop on Database and Expert Systems Applications, DEXA 2001 - Munich, Germany
Duration: Sep 3 2001Sep 7 2001

Publication series

NameProceedings - International Workshop on Database and Expert Systems Applications, DEXA
Volume2001-January
ISSN (Print)1529-4188

Other

Other12th International Workshop on Database and Expert Systems Applications, DEXA 2001
Country/TerritoryGermany
CityMunich
Period9/3/019/7/01

Keywords

  • Algebra
  • Assembly
  • Geographic Information Systems
  • Information retrieval
  • Mediation
  • Middleware
  • Project management
  • Query processing
  • Supercomputers
  • XML

ASJC Scopus subject areas

  • General Engineering

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