01529nam 2200349z- 450 991034670810332120231214132929.01000030761(CKB)4920000000094613(oapen)https://directory.doabooks.org/handle/20.500.12854/55253(EXLCZ)99492000000009461320202102d2013 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierOntology Alignment using Biologically-inspired Optimisation AlgorithmsKIT Scientific Publishing20131 electronic resource (XIV, 220 p. p.)3-86644-936-4 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.cloudevolutionalignmentPSOontologyBock Jürgenauth1309825BOOK9910346708103321Ontology Alignment using Biologically-inspired Optimisation Algorithms3029621UNINA