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Querying Multimedia Spatiotemporal Databases

de Souza Baptista, Claudio and Kemp, Zarine P. (1999) Querying Multimedia Spatiotemporal Databases. In: Lasker, George E. and Zhang, Yanchun, eds. Proceedings 11th International Workshop on Database and Expert Systems Applications. IEEE, pp. 145-150. ISBN 0-921836-79-1. (doi:10.1109/DEXA.2000.875100) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:21796)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/DEXA.2000.875100

Abstract

Spatiotemporal digital libraries have special characteristics that have to be taken into account when analysing user interaction requirements. By spatiotemporal libraries, we mean digital data repositories where the data as well as user queries and retrievals are focused predominantly on the space and time dimensions. The paper analyses the particular requirements for user interactions in this broad application domain, and discusses principles underlying the STepLib data model that enhances the accessibility of geo-referenced data libraries. The data model as well as the associated interaction model are generic and encompass most combinations of data and type formats that arise in these libraries.

Item Type: Book section
DOI/Identification number: 10.1109/DEXA.2000.875100
Additional information: Symposium held as part of the 11th Intenational Conference on Systems, Informatics and Cybernetics
Uncontrolled keywords: Multimedia databases, metadata, spatiotemporal databases
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 06 Oct 2009 17:26 UTC
Last Modified: 16 Feb 2021 12:32 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/21796 (The current URI for this page, for reference purposes)
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