Ontology-driven geographic information systems
Proceedings of the 7th ACM international symposium on Advances in geographic information systems
Data on the Web: from relations to semistructured data and XML
Data on the Web: from relations to semistructured data and XML
Data Integration under Integrity Constraints
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
So Far (Schematically) yet So Near (Semantically)
Proceedings of the IFIP WG 2.6 Database Semantics Conference on Interoperable Database Systems (DS-5)
Development of a mechanism for ontology-based product lifecycle knowledge integration
Expert Systems with Applications: An International Journal
An algorithm for merging geographic datasets based on the spatial distributions of their values
GeoS'07 Proceedings of the 2nd international conference on GeoSpatial semantics
Class structures and lexical similarities of class names for ontology matching
ODBIS'05/06 Proceedings of the First and Second VLDB conference on Ontologies-based databases and information systems
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A major challenge in building the Semantic Web is resolving the differences among heterogeneous databases. After the rise of XML as the global standard for data interchange, researchers are developing techniques to handle data integration. So far, most approaches have focused on syntactic and schematic heterogeneities. This article illustrates an approach that leverages current XML technologies and the hierarchical organization of the data to resolve semantic heterogeneities. Two real-world cases from the field of geographic information systems illustrate the approach.