Ontology Alignment using Biologically-inspired Optimisation Algorithms

Ontology Alignment using Biologically-inspired Optimisation Algorithms

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Description

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.show more

Product details

  • Paperback | 240 pages
  • 148.08 x 210.06 x 13.97mm | 385.55g
  • Karlsruher Institut für Technologie
  • English
  • graph. Darst.
  • 3866449364
  • 9783866449367