Online-Ressource
KIT Scientific Publishing
UID:
edoccha_9959145703002883
Umfang:
1 electronic resource (XIV, 220 p. p.)
ISBN:
1000030761
Inhalt:
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.
Anmerkung:
English
Weitere Ausg.:
ISBN 3-86644-936-4
Sprache:
Englisch
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