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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.
Umfang: XIV, 220 S.
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Bock, J. 2013. Ontology Alignment using Biologically-inspired Optimisation Algorithms. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000030761
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Veröffentlicht am 23. Januar 2013
Englisch
240
| Paperback | 978-3-86644-936-7 |