Ontology Alignment using Biologically-inspired Optimisation Algorithms
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...
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Year of Publication: | 2013 |
Language: | English |
Physical Description: | 1 electronic resource (XIV, 220 p. p.) |
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Bock, Jürgen auth Ontology Alignment using Biologically-inspired Optimisation Algorithms KIT Scientific Publishing 2013 1 electronic resource (XIV, 220 p. p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier 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. English cloud evolution alignment PSO ontology 3-86644-936-4 |
language |
English |
format |
eBook |
author |
Bock, Jürgen |
spellingShingle |
Bock, Jürgen Ontology Alignment using Biologically-inspired Optimisation Algorithms |
author_facet |
Bock, Jürgen |
author_variant |
j b jb |
author_sort |
Bock, Jürgen |
title |
Ontology Alignment using Biologically-inspired Optimisation Algorithms |
title_full |
Ontology Alignment using Biologically-inspired Optimisation Algorithms |
title_fullStr |
Ontology Alignment using Biologically-inspired Optimisation Algorithms |
title_full_unstemmed |
Ontology Alignment using Biologically-inspired Optimisation Algorithms |
title_auth |
Ontology Alignment using Biologically-inspired Optimisation Algorithms |
title_new |
Ontology Alignment using Biologically-inspired Optimisation Algorithms |
title_sort |
ontology alignment using biologically-inspired optimisation algorithms |
publisher |
KIT Scientific Publishing |
publishDate |
2013 |
physical |
1 electronic resource (XIV, 220 p. p.) |
isbn |
1000030761 3-86644-936-4 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT bockjurgen ontologyalignmentusingbiologicallyinspiredoptimisationalgorithms |
status_str |
n |
ids_txt_mv |
(CKB)4920000000094613 (oapen)https://directory.doabooks.org/handle/20.500.12854/55253 (EXLCZ)994920000000094613 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Ontology Alignment using Biologically-inspired Optimisation Algorithms |
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1796652141122682880 |