An introduction to database systems (7th ed.)
An introduction to database systems (7th ed.)
Imprecision in Finite Resolution Spatial Data
Geoinformatica
SCIE '97 International Summer School on Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
Ontology-Based Geographic Data Set Integration
STDBM '99 Proceedings of the International Workshop on Spatio-Temporal Database Management
A framework for integrating information sources under lattice structure
Information Fusion
A framework for semantic reconciliation of disparate earth observation thematic data
Computers & Geosciences
Qualitative reasoning about consistency in geographic information
Information Sciences: an International Journal
Architecture for a grounded ontology of geographic information
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Towards effective geographic ontology matching
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Geographic ontology matching with iG-match
SSTD'07 Proceedings of the 10th international conference on Advances in spatial and temporal databases
A web services framework for integrated geospatial coverage data
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Web services framework for geo-spatial services
W2GIS'04 Proceedings of the 4th international conference on Web and Wireless Geographical Information Systems
Data-driven matching of geospatial schemas
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
| Hi-index | 0.00 |
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.