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.
