Rules for Effective Mapping Between Two Data Environments: Object Database Language and XML

2011 ◽  
pp. 143-166
Author(s):  
Tamer N. Jarada ◽  
Abdullah M. Elsheikh ◽  
Taher Naser ◽  
Kelvin Chung ◽  
Armen Shimoon ◽  
...  
Keyword(s):  
Object Database ◽  
Database Language

A persistent complex object database language

1989 ◽  
Vol 3 (4) ◽  
pp. 225-243 ◽  
Author(s):  
Setrag Khoshafian
Keyword(s):  
Complex Object ◽  
Object Database ◽  
Database Language

Mining-and-technical object database

2018 ◽  
Vol 11 ◽  
pp. 199-206
Author(s):  
S.M. Rakhimbekov ◽  
Keyword(s):  
Technical Object ◽  
Object Database

MODIS. A Moving Object Database Interface System

2005 ◽  
Vol 10 (5) ◽  
pp. 59-94
Author(s):  
Deja Hepziba Francis ◽  
Sanjay Madria ◽  
Chaman Sabharwal
Keyword(s):  
Moving Object ◽  
Moving Object Database ◽  
Interface System ◽  
Object Database ◽  
Database Interface

Making an Array Database Language Server-Side Extensible

2020 ◽  
Author(s):  
Otoniel Jose Campos Escobar ◽  
Dimitar Misev ◽  
Peter Baumann
Keyword(s):  
Server Side ◽  
Database Language

Spatiotemporal Object Database Approach to Dynamic Segmentation

2003 ◽  
Vol 1836 (1) ◽  
pp. 118-125 ◽  
Author(s):  
Bo Huang ◽  
Li Yao
Keyword(s):  
Query Language ◽  
Time Varying ◽  
Data Types ◽  
The Road ◽  
Dynamic Segmentation ◽  
Management Group ◽  
Object Database ◽  
On The Road ◽  
Temporal Dimensions ◽  
Spatiotemporal Queries

Dynamic segmentation is viewed as one of the most important functions of geographic information systems for transportation applications. Although the road network and associated events (e.g., pavement material, traffic volume, incidents) can be referenced to both space and time, the spatial and temporal dimensions have not been well integrated. Modeling space-varying, time-varying, and space-time-varying events in dynamic segmentation by using an object database approach that is in line with the Object Database Management Group standard is explored. A mechanism called parametric polymorphism is used to lift conventional data types to spatial, temporal, and spatiotemporal types for maintaining knowledge about events that could change spatially, temporally, and spatiotemporally along linear features. An associated object query language, DS-OQL, was designed to support the formulation of spatial, temporal, and spatiotemporal queries on the road and event information.

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