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SAMOA - A Semi-Automated Ontology Alignment Method for Systems Integration in Safety-Critical Environments
2009
2009 International Conference on Complex, Intelligent and Software Intensive Systems
The integration of heterogeneous data sources with even heterogeneous semantic meanings poses a challenge for data and system integrators. Ontology Alignment (OA) tries to identify similarities between heterogeneous ontologies and to automatically create suitable mappings for transformation. However, the usage of standard OA approach for safety-critical domains needs further investigation. In this paper, we describe a semi-automated ontology alignment approach (SAMOA) well-suitable for
doi:10.1109/cisis.2009.138
dblp:conf/cisis/MoserSMA09
fatcat:b37j3b2jmfb4zpefspvpb2kr3e