Bibliograph. Daten | Volz, Steffen: Data-Driven Matching of Geospatial Schemas. In: Cohn and Mark (Hrsg): Proceedings of the 8th International Conference on Spatial Information Theory: COSIT '05, Ellicottville, New York, September 14-18, 2005.. Universität Stuttgart : Sonderforschungsbereich SFB 627 (Nexus: Umgebungsmodelle für mobile kontextbezogene Systeme). S. 1-18, deutsch. Heidelberg: Springer-Verlag, September 2005. Artikel in Tagungsband (Konferenz-Beitrag).
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Körperschaft | Lecture Notes in Computer Science 3693 |
CR-Klassif. | H.2.8 (Database Applications)
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Keywords | GIS; Schema Matching |
Kurzfassung | 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.
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Kontakt | steffen.volz@ifp.uni-stuttgart.de |
Abteilung(en) | Universität Stuttgart, Institut für Photogrammetrie (ifp)
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Projekt(e) | SFB-627, B2 (Universität Stuttgart, Institut für Photogrammetrie (ifp))
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Eingabedatum | 4. Juli 2005 |
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