Integrating Spatio-thematic Information
Mechanisms for overcoming semantic heterogeneity in diverse information sources are critical components of any interoperable system. In the case of diverse geographic information sources, such mechanisms present particular difficulties since the semantic structure of geographic information cannot be considered independently of its spatial structure. This paper develops an approach to the integration of semantically heterogeneous geographic information that is capable of addressing the spatial and thematic aspects of geographic information in concert. The approach is founded on an algebraic model of spatio-thematic information layers. Variations in the thematic structure of layers are explored, including the integration of layers with hierarchical thematic structure. The effects of changes in the thematic granularity of layers are also considered. Finally, a case study of the integration of heterogeneous land cover data is used to illustrate the relevance of the formal model within a practical application.
KeywordsLand Cover Land Cover Class Land Cover Data Product Construction Ordnance Survey
Unable to display preview. Download preview PDF.
- 1.Date, C.: Introduction to Database Systems. 7 edn. Addison-Wesley (2000)Google Scholar
- 2.Stonebraker, M.: Readings in Database Systems. Morgan Kaufmann, CA (1984)Google Scholar
- 3.Sowa, J.: Building, Sharing and Merging Ontologies. http://www.jfsowa.com/ontology/ontoshar.htm (2001)
- 4.Kashyap, V. and Sheth, A.: Semantic Heterogeneity in Global Information Systems: The Role of Metadata, Context and Ontologies. In: Papazoglou, M.P. and Schlageter, G., eds.: Cooperative Information Systems. Academic Press, San Diego (1998) 139–178Google Scholar
- 5.Fonseca, F., Egenhofer, M., Agouris, P., Cămara, G.: Using Ontologies for Integrated Geographic Information Systems. Transactions in Geographic Information Systems 6 (2002) 231–257Google Scholar
- 6.Uitermark, H., van Oosterom, P., Mars, N., and Molenaar, M.: Ontology-Based Spatial Data Set Integration. In: Proceedings of STDBM’99, Workshop on Spatio-Temporal Database Management, Edinburgh, Scotland. (1999)Google Scholar
- 7.Guarino, N.: Semantic Matching: Formal Ontological Distinctions for Information Organization, Extraction, and Integration. In: Pazienza, M., ed.: Proceedings International Summer School, SCIE-97, Frascati, Italy. Volume 1299 of Lecture Notes in Computer Science., Berlin: Springer (1997) 139–170Google Scholar
- 9.Tomlin, C.: Cartographic Modelling. In Maguire, D., Goodchild, M., Rhind, D., eds.: Geographical Information Systems. Volume 1. 1st edn. Longman, England (1991) 361–374Google Scholar
- 12.Bossard, M., Feranec, J., and Otahel, J.: CORINE Land Cover Technical Guide. Technical Report 40, European Environment Agency, Copenhagen (2000)Google Scholar
- 13.Ordnance Survey of Great Britain: Digital National Framework. Consultation Paper 1, Ordnance Survey of Great Britain, Southampton, UK (2000)Google Scholar
- 14.Harley, J.: Ordnance Survey Maps: A Descriptive Manual. Technical Report, Ordnance Survey of Great Britain, Southampton, UK (1975)Google Scholar