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DILS
2010
Springer

On Matching Large Life Science Ontologies in Parallel

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On Matching Large Life Science Ontologies in Parallel
Matching life science ontologies to determine ontology mappings has recently become an active field of research. The large size of existing ontologies and the application of complex match strategies for obtaining high quality mappings makes ontology matching a resource- and time-intensive process. To improve performance we investigate different approaches for parallel matching on multiple compute nodes. In particular, we consider inter-matcher and intramatcher parallelism as well as the parallel execution of element- and structurelevel matching. We implemented a distributed infrastructure for parallel ontology matching and evaluate different approaches for parallel matching of large life science ontologies in the field of anatomy and molecular biology.
Anika Gross, Michael Hartung, Toralf Kirsten, Erha
Added 08 Nov 2010
Updated 08 Nov 2010
Type Conference
Year 2010
Where DILS
Authors Anika Gross, Michael Hartung, Toralf Kirsten, Erhard Rahm
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