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Uncertainty in Automated Ontology Matching: Lessons Learned from an Empirical Experimentation
More concretely, this paper aims to test on real-world data a bottom-up knowledge-building approach, discuss the lessons learned from the experimental results of the case study, and draw conclusions about uncertainty and uncertainty management in an automated ontology matching process.
A New Method for the Semantic Integration of Multiple OWL Ontologies using Alignments
This work is done as part of a master's thesis project.
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