ul 2004 
  
  
  
i in the 
stigated 
ATKIS 
area. In 
lere are 
“Road” 
(LN) of 
  
RD) and 
arity. 
and 267 
nging to 
the 267 
ated 57 
ations of 
hich held 
bjects of 
ind 4 RD 
l" and a 
relations 
> matches 
idence of 
nd only a 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004 
partial correspondence, e.g. one ATKIS LN was assigned to one 
GDF RD and one GDF Road Element (RDEL). So altogether, 
% of the relations are in contradiction to the statement that 
there are correspondencies between the object classes under 
investigation, 5.3% do not clearly support our conclusion but 
87.7% do speak well for a clear link. Details about the relations 
between the representations can be depicted from table 1: 
  
  
  
  
  
  
  
GDF ATKIS 
- 1:n relations 4 19 
- 1:1 relations 20 
- n:m relations - 14 
- impure relations 11. 
- .LN and (ISEC and RD) 4 
- . Other classes involved 3 
- Only other classes 4* 
- pure relations 46 
- LN and ISEC : 13 
- LN and RD ; 31.733 
  
  
  
  
Table 1. Results from the matching of the test area. 
It has to be pointed out that these are first results on a small test 
area. In the near future, the approach has to be verified using 
larger data sets. Moreover, we are working on combining 
attributes and object classes in order to detect correspondencies. 
For example, we expect to have similarities between “Way” 
objects and "Street" objects with attribute "road type" — 
"Community Street" from ATKIS and GDF Road Elements 
with attribute "functional class = 5”. 
5. CONCLUSIONS AND OUTLOOK 
In this paper we have shown that spatial databases can be linked 
on different levels. It was our goal to prove that explicit 
relations on the instance level can be used to derive links on the 
schema level. First results have been achieved which have to be 
verified in the future. Furthermore, it is planned to exploit the 
relations we have set up between instances in order to optimize 
the processes of conflation, update and analysis of multiple 
representations. But this is not trivial, especially in the case of 
n:m matches. 
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7. ACKNOWLEDGEMENTS 
The research presented here is part of the Nexus project which 
is supported as a Center of Excellence called “SPATIAL WORLD 
MODELS FOR MOBILE CONTEXT-AWARE APPLICATIONS" under 
grant SFB 627 by the Deutsche Forschungsgemeinschaft (DFG 
- German Research Council). 
The test data have kindly been provided by the NavTech 
company (GDF) and the state survey office of the federal state 
of Baden-Wuerttemberg (ATKIS).