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Ontology Alignment using Biologically-inspired Optimisation Algorithms

dc.contributor.authorBock, Jürgen*
dc.date.accessioned2021-02-11T21:41:34Z
dc.date.available2021-02-11T21:41:34Z
dc.date.issued2013*
dc.date.submitted2019-07-30 20:02:02*
dc.identifier35487*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/55253
dc.description.abstractIt 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.*
dc.languageEnglish*
dc.subjectHF5001-6182*
dc.subject.classificationbic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJC Business strategyen_US
dc.subject.othercloud*
dc.subject.otherevolution*
dc.subject.otheralignment*
dc.subject.otherPSO*
dc.subject.otherontology*
dc.titleOntology Alignment using Biologically-inspired Optimisation Algorithms*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000030761*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783866449367*
oapen.pagesXIV, 220 p.*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.titleDissertations (Dissertationen)


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