Spatio-temporal data access for information-based decision making

Supporting large volumes of multi-dimensional data is an inherent characteristic of modern database applications, such as geographical information systems (GIS), and image and multimedia databases. such databases need underlying systems with extended features like query languages, data models, and i...

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Bibliographic Details
Published inOceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492) Vol. 2; pp. 1025 - 1029 Vol.2
Main Authors Ladner, R., Warner, E., Petry, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Data models
Database languages
Decision making
Geographic Information Systems
Image databases
Indexing
Information retrieval
Information systems
Multimedia databases
Spatial databases
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Summary:Supporting large volumes of multi-dimensional data is an inherent characteristic of modern database applications, such as geographical information systems (GIS), and image and multimedia databases. such databases need underlying systems with extended features like query languages, data models, and indexing methods, as compared to traditional databases, mainly because of the complexity of representing and retrieving data. In particular, spatio-temporal information systems must efficiently store and access potentially very large quantities of spatial and temporal data so we have developed index structures that can capture the time varying nature of moving objects, namely spatio-temporal structures. This paper describes the design of a query system for such data.
ISBN:0933957300
9780933957305
DOI:10.1109/OCEANS.2003.178477