Ontology Alignment using Biologically-inspired Optimisation Algorithms

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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Bock, Jürgen
Year of Publication:2013
Language:English
Physical Description:1 electronic resource (XIV, 220 p. p.)
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spelling 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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