TY  - BOOK
AU  - Bock, Jürgen
AB  - 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.
DO  - 10.5445/KSP/1000030761
ID  - OAPEN ID: 35487
KW  - cloud
KW  - evolution
KW  - alignment
KW  - PSO
KW  - ontology
L1  - https://www.ksp.kit.edu/9783866449367
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/55253
PB  - KIT Scientific Publishing
PY  - 2013
SN  - 9783866449367
TI  - Ontology Alignment using Biologically-inspired Optimisation Algorithmsnull
ER  - 
