Published: 2010 November
Buchtitel: Proceedings of the Fifth International Workshop on Ontology Matching (OM2010), Shanghai, China
The problem of ontology alignment is prominent for applications that operate on integrated semantic data. With ontologies becoming numerous and increasingly large in size, scalability is an important issue for alignment tools. This work introduces a novel approach for computing ontology alignments using cloud infrastructures. An alignment algorithm based on particle swarm optimisation is deployed on a cloud infrastructure, taking advantage of its ability to harness parallel computation resources. The deployment is done with a focus on parallel efficiency, taking into account both communication latency and computational inhomogeneity among parallel execution units. Complementing previous experiments showing the effectiveness of the alignment algorithm, this paper contributes an experiment executed “in the cloud”, which demonstrates the scalability of the approach by aligning two large ontologies from the biomedical domain.