Full text: Proceedings, XXth congress (Part 2)

  
  
CLASSIFICATION AND REPRESENTATION OF CHANGE IN SPATIAL DATABASE 
FOR INCREMENTAL DATA TRANSFER 
Huaji ZHU'?, Jun CHENS, Jie JIANG? 
| The Institute of Remote Sensing Application of CAS, Datun Road, Beijing, China, 100101 
zhuhuaji@sohu.com 
2 National Geomatics Center of China, 1 Baishengcun, Zizhuyuan, Beijing, China, 100044 
Key words: incremental data transfer, change, Geographical Object, update, Classification, representation 
ABSTRACT: Nowadays, more and more spatial databases are used in various fields, so the demands for keeping spatial database 
"fresh" are growing rapidly. Generally, the end-users get the basic spatial data from professional spatial data producers. There are 
mainly two kinds of way for transfer the changed data. One is to batch transfer; the other is incremental data transfer. With the batch 
method, the whole up-to-date database is delivered. This process is time-consuming and might induce significant risks of errors 
occurrence and information loss.. Recent years, more and more people begin to study incremental updating of spatial database. This 
method of updating makes it possible to transfer change-only information to the end-users, namely to transfer the incremental data. In 
order to find out the changed objects in a database, firstly we need to identify uniquely all of the objects. In this paper, we define a 
geographical object as a new 4-tuple (semantic descriptor, thematic descriptor, spatial descriptor, and temporal descriptor]. Spatial 
descriptor consists of geometric component, position component and topologic component. What change happens to an object? In 
order to answer this question, firstly, we have to identity and classify changes of geographical objects. Based on the 4-tuple model of 
geographical object, we propose taxonomy of the change of geographical object and describe these changes with data/knowledge 
packets. 
1. INTRODUCTION 
  
Geographic Information Systems (GIS) are increasingly used in 
many domains, such as traffic and water sections. Since, 
implementing such systems are complex, they are always based 
on basic spatial data which are provided by special institutions. 
Users, generally, gain reference geographic data from producers 
in order to establish their GIS. For instance, a realty company 
purchases from a producer a geographic database representing the 
land usage of a given region for its company planning application. 
Users regard the data provided by producers as spatial reference 
data. Geographic data producers are responsible for producing 
and maintaining up-to-date databases and delivers new 
information to users. In this way, there are many advantages. But 
many new problems appear. How to update and maintain user 
database, especially maintain the spatial reference data, is one of 
the main challenges. When the databases created by the data 
producer are updated, the changed data must be transferred to the 
end-user to keep their client-databases current. This includes the 
management of geographical changes. A more explicit focus on 
change has considered the semantics associated with change, 
(Claramunt and Theriault 1995, 1996 ). These studies, however, 
have omitted certain kinds of change and so far no systematic 
treatment of change has been undertaken and they have no given 
formal expression. The objective of our research is the 
identification of a model for the classification and description of 
changes in topological database. 
2. TRANSFER OF UPDATES 
There are several solutions available for the transfer of updated 
dataset (Spéry,2001). 
> Bulk data transfer 
^ Incremental data transfer: Data producers only provide 
those objects that have been changed since the last transfer. 
In this case, the producer has to identify geographical 
changes in order to generate relevant data sets to each user 
context (Wijngaarden et. Al., 1997). 
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