Full text: Proceedings, XXth congress (Part 4)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004 
temporarily discarded matchings, which are in conflict with it, 
have to be definitely discarded. 
For line objects this iterative approach leads to good results for 
the criterion “similarity of length”, which means that a treshold 
is defined for the maximum of the two quotients of the length. 
3.3.3 Manual Selection 
The automatic selection procedure leaves a set of possible 
matchings which cannot automatically be confirmed or 
discarded. These are, for example, pairs of matchings, which 
hold the given set of quality tresholds and are in conflict with 
each other. In such cases the decision for confirming or 
discarding must be left to a human operator. 
The operator must be provided with an interface, which helps 
him making a decision. Therefore a graphical user interface is 
needed, which shows the uncertain matchings in their context 
and lets the user confirm or discard. 
We have implemented an extension for the visualizer 
GlSVisual, which was formerly developed at our institute, 
which provides the user with these features and an interface for 
administration of the federated database. The interface provides 
firstly a graphical user interface for capturing and changing the 
needed meta data and parameters, for example for the semantic 
classification. Then there is the possibility to register and 
parameterize procedures for finding possible matchings (as an 
alternative to the buffer growing) as well as for the selection 
procedures. These are procedures implemented in PL/SQL. 
For the manual selection the functions for marking pairs of 
objects, in this context the matching pairs, and calling database 
procedures on this pair, were implemented. The operator 
therefore can choose one or more pairs and afterwards discard 
or confirm them with respect to the conflict rules. If configured 
by the operator, the process of confirmation of non-conflicting 
matchings, will start after each manual confirmation. 
4. FUTURE WORK 
Now, that we have a framework for generating a multi- 
resolution database and some methods to match line objects, we 
are focussing on tuning the matching process and augmenting 
the degree of automation in the selection process, which means 
to experiment with different parameterizations for the existing 
procedures as well as developing new procedures. 
Another focus has to be set on the development of region 
matching algorithm respectively the integration of exiisting 
ones. 
5. REFERENCES 
Conrad, S., 1997. 
Verlag, Berlin. 
Föderierte Datenbanksysteme. Springer 
Devogele, T., Parent, C., Spaccapietra, S., 1998. On Spatial 
Database Integration. International Journal of Geographical 
Information Science, 12(4), pp. 335-352. 
Kleiner, C., Lipeck, U.W., 2001. Enabling Geographic Data 
with Object-Relational Databases. In: A. Heuer et al., 
176 
Datenbanksysteme in Büro, Technik und Wissenschaft — 9. GI- 
Fachtagung BTW 2001, Springer Verlag, Berlin, pp. 127-143. 
Lipeck, U.W., Mantel, D., 2004. Datenbankgestütztes Matching 
von Kartenobjekten. To appear in: Mitteilungen des 
Bundesamtes für Kartographie und Geodäsie, Bundesamt für 
Kartographie und Geodäsie, Frankfurt am Main. 
Mantel, D., 2002. Konzeption eines Föderierungsdienstes für 
geographische Datenbanken. Master Thesis, University of 
Hannover, Germany. 
Sester, M., Anders, K.-H., Walter, V., 1999. Linking Objects of 
Different Spatial Datasets by Integration and Aggregation. 
Geolnformatica, 2(4), pp. 335-358. 
Sester, M., 2000. 
digitalen räumlichen Datenbeständen. 
University of Stuttgart, Germany. 
Maßstabsabhängige Darstellungen in 
Habilitation Thesis, 
Tiedge M., Lipeck, U. and Mantel, D., 2004. Design of a 
Database System for Linking Geoscientific Data. 
Geotechnologien Science Report "Information Systems in Earth 
Management", No. 4, Koordinierungsbüro Geotechnologien, 
Potsdam, 2004, pp. 83-87. 
Walter, V., 1997. Zuordnung von raumbezogenen Daten — am 
Beispiel der Datenmodelle ATKIS und GDF. Ph.D. Thesis, 
University of Stuttgart, Germany. 
6. ACKNOWLEDGEMENTS 
This work is funded by the German Federal Agency for 
Cartography and Geodesy as part of the WiPKA (Wissens- 
basierter Photogrammetrisch-Kartographischer Arbeitsplatz) 
project and by the Federal Ministry for Education and Research 
(BMBF) and the German Council (DFG) as part of the 
Geotechnologien project under contract no. 30F0374A. 
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