Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Discovering Direct and Indirect Matches for Schema Elements
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
Similarity Flooding: A Versatile Graph Matching Algorithm and Its Application to Schema Matching
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Industrial-strength schema matching
ACM SIGMOD Record
Schema and ontology matching with COMA++
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
COMA: a system for flexible combination of schema matching approaches
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Comparing categories among geographic ontologies
Computers & Geosciences
A survey of schema-based matching approaches
Journal on Data Semantics IV
GeRoMe: a generic role based metamodel for model management
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
A semantic-based architecture for supporting geographic e-services
Proceedings of the 3rd international conference on Theory and practice of electronic governance
Similarity measurement in context
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
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
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Integration and interoperability is a basic requirement for geographic information systems (GIS) The web provides access to geographic data in several ways: on the one hand, web-based interactive GIS applications provide maps and routing information to end users; on the other hand, the data of some GIS can be accessed in a programmatic way using a web service Thereby, the data is made available for other GIS applications However, integrating data from various sources is a tedious task which requires the mapping of the involved schemas as a first step Schema matching analyzes and identifies similarities of two schemas, but all approaches can be only semi-automatic as human intervention is required to verify the result of a schema matching algorithm In this paper, we present an approach that improves the matching result of existing solutions by using semantic information provided by the context of the geographic application This reduces the effort for manually correcting the results which has been validated in several application examples.