DocumentCode :
2263124
Title :
geoPOM: a heterogeneous geoscientific persistent object system
Author :
Nittel, Silvia ; Muntz, Richard R. ; Mesrobian, Edmond
Author_Institution :
Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
fYear :
1997
fDate :
11-13 Aug 1997
Firstpage :
252
Lastpage :
263
Abstract :
Lately, a need for uniform access to and integration of data stored in specialized, non-standard repositories such as GIS or multimedia storage servers has become apparent. The authors provide an overview of a heterogeneous geoscientific persistent object manager (geoPOM) developed at the UCLA Data Mining Laboratory. GeoPOM provides users with the “illusion” of a single object-oriented spatial data store even though the data is actually stored in several different spatial data repositories, thus, allowing users to define and handle spatial data in a uniform manner The geoPOM data model is based on the ODMG-93 standard for object-oriented data models, and the Open Geodata Consortium´s (OGC) standardization effort for temporal-spatial object types (OGIS)
Keywords :
data structures; distributed databases; geographic information systems; geophysics; geophysics computing; multimedia computing; object-oriented databases; query processing; scientific information systems; standardisation; visual databases; GIS; ODMG-93 standard; Open Geodata Consortium standardization effort; UCLA Data Mining Laboratory; data integration; geoPOM data model; heterogeneous geoscientific persistent object system; multimedia storage servers; object-oriented data models; object-oriented spatial data store; spatial data definition; spatial data handling; spatial data repositories; specialized nonstandard repositories; temporal-spatial object types; uniform data access; Computational Intelligence Society; Computer science; Data mining; Data models; Distributed databases; File systems; Geographic Information Systems; Object oriented databases; Spatial databases; Standardization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scientific and Statistical Database Management, 1997. Proceedings., Ninth International Conference on
Conference_Location :
Olympia, WA
Print_ISBN :
0-8186-7952-2
Type :
conf
DOI :
10.1109/SSDM.1997.621194
Filename :
621194
Link To Document :
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