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oaioai:EVASTAR-Karlsruhe.de:1000030761

Ontology Alignment using Biologically-inspired Optimisation Algorithms

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Publication date
1 January 2013
Publisher
KIT Scientific Publishing, Karlsruhe
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    Abstract

    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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    This paper was published in KITopen.

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