UID:
edoccha_9959145703002883
Format:
1 electronic resource (XIV, 220 p. p.)
ISBN:
1000030761
Content:
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.
Note:
English
Additional Edition:
ISBN 3-86644-936-4
Language:
English
