| |
| description |
The emergence of spatial data infrastructures offering geospatial
information from heterogeneous sources involves the need to achieve
an integration of databases from different data providers within a
common platform. Generally, database integration consists of two
steps: schema integration and object integration. Concerning schema
integration, a crucial part is the identification of semantically
corresponding elements in different schemas. This process is
referred to as schema matching. In this paper, we present a
data-driven approach for the matching of geospatial schemas. It is
based on the idea of exploiting the instance-level relations between
multiple representations (of one and the same real world object)
that have been captured on the basis of different schemas. As a
result, correlation measures are derived describing the degree of
correspondence between the object classes of different schemas.
|
| publisher |
University of Stuttgart : Collaborative Research Center SFB 627
(Nexus: World Models for Mobile Context-Based
Systems)
|
| Heidelberg: Springer-Verlag
|
| type |
Text
|
| Article in Proceedings
|
| source |
In: Cohn and Mark (ed.): Proceedings of the 8th International
Conference on Spatial Information Theory: COSIT '05,
Ellicottville, New York, September 14-18, 2005., pp. 1-18
|
| contributor |
Institut für Photogrammetrie (ifp)
|
|
| subject |
Database Applications (CR H.2.8)
| | GIS
| | Schema Matching
| | relation |
Lecture Notes in Computer Science 3693
| |