Prolog: a relational language and its applications
Prolog: a relational language and its applications
Mathematica: a system for doing mathematics by computer (2nd ed.)
Mathematica: a system for doing mathematics by computer (2nd ed.)
JEC-GI '96 Proceedings of the second joint European conference & exhibition on Geographical information (Vol. 1) : from research to application through cooperation: from research to application through cooperation
Map integration—update propagation in a multi-source environment
GIS '97 Proceedings of the 5th ACM international workshop on Advances in geographic information systems
Model independent assertions for integration of heterogeneous schemas
The VLDB Journal — The International Journal on Very Large Data Bases
Bottom-Up Construction of Ontologies
IEEE Transactions on Knowledge and Data Engineering
Semantic and Geometric Aspects of Integrating Road Networks
INTEROP '99 Proceedings of the Second International Conference on Interoperating Geographic Information Systems
So Far (Schematically) yet So Near (Semantically)
Proceedings of the IFIP WG 2.6 Database Semantics Conference on Interoperable Database Systems (DS-5)
Integrating Spatio-Thematic Information
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
An equity-based and cell-based spatial object fusion method
ASIAN'05 Proceedings of the 10th Asian Computing Science conference on Advances in computer science: data management on the web
Integrating data from maps on the world-wide web
W2GIS'06 Proceedings of the 6th international conference on Web and Wireless Geographical Information Systems
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers of KES2012-Part 1 of 2
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In order to develop a system to propagate updates we investigate the semantic and spatial relationships between independently produced geographic data sets of the same region (data set integration). The goal of this system is to reduce operator intervention in update operations between corresponding (semantically similar) geographic object instances. Crucial for this reduction is certainty about the semantic similarity of different object representations. In this paper we explore a framework for ontology-based geographic data set integration, an ontology being a collection of shared concepts. Components of this formal approach are an ontology for topographic mapping (a domain ontology), an ontology for every geographic data set involved (the application ontologies), and abstraction rules (or capture criteria). Abstraction rules define at the class level the relationships between domain ontology and application ontology. Using these relationships, it is possible to locate semantic similarity at the object instance level with methods from computational geometry (like overlay operations). The components of the framework are formalized in the Prolog language, illustrated with a fictitious example, and tested on a practical example.