Ontology Alignment using Biologically-inspired Optimisation Algorithms - Jürgen Bock
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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 pr ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Jürgen Bock |
|---|---|
| Izdevējs | Karlsruher Institut für Technologie |
| Izlaides gads | 2014 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783866449367 |