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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第一著者: Bock, Jürgen
フォーマット: Online
言語:英語
出版事項: KIT Scientific Publishing 2021
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オンライン・アクセス:35487
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author Bock, Jürgen
author_browse Bock, Jürgen
author_facet Bock, Jürgen
author_sort Bock, Jürgen
collection Directory of Open Access Books
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.
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
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publisherStr KIT Scientific Publishing
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spelling doab-20.500.12854ir-552532023-12-20T15:54:07Z Ontology Alignment using Biologically-inspired Optimisation Algorithms Bock, Jürgen HF5001-6182 cloud evolution alignment PSO ontology bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy 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. 2021-02-11T21:41:34Z 2021-02-11T21:41:34Z 2019-07-30 20:02:02 2013 book 35487 9783866449367 https://directory.doabooks.org/handle/20.500.12854/55253 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783866449367 KIT Scientific Publishing 10.5445/KSP/1000030761 10.5445/KSP/1000030761 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866449367 XIV, 220 p. open access
spellingShingle HF5001-6182
cloud
evolution
alignment
PSO
ontology
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
Bock, Jürgen
Ontology Alignment using Biologically-inspired Optimisation Algorithms
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_short Ontology Alignment using Biologically-inspired Optimisation Algorithms
title_sort ontology alignment using biologically inspired optimisation algorithms
topic HF5001-6182
cloud
evolution
alignment
PSO
ontology
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
topic_facet HF5001-6182
cloud
evolution
alignment
PSO
ontology
bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategy
url 35487
work_keys_str_mv AT bockjurgen ontologyalignmentusingbiologicallyinspiredoptimisationalgorithms