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Ontology Alignment Using Biologically-inspired Optimisation Algorithms
Jürgen Bock
2014
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It is investigated how biologically-inspired optimisation methods can be used to compute alignments between ontologies. Independent of particular similarity metrics, the developed techniques demonstrate anytime behaviour and high scalability. Due to the inherent parallelisability of these population-based algorithms it is possible to exploit dynamically scalable cloud infrastructures - a step towards the provisioning of Alignment-as-a-Service solutions for future semantic applications.
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Keywords
- alignment
- cloud
- Evolution
- Ontology
- PSO
Links
DOI: 10.5445/KSP/1000030761Editions