Closed-world concept induction for learning in OWL knowledge bases

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dc.contributor.authorRatcliffe, David
dc.contributor.authorTaylor, Kerry
dc.coverage.spatialLinkoping Sweden
dc.date.accessioned2015-12-10T22:23:36Z
dc.date.createdNovember 24-28 2014
dc.date.issued2014
dc.date.updated2015-12-09T09:09:38Z
dc.description.abstractWe present a general-purpose method for inducing OWL class descriptions over data and knowledge captured with RDF and OWL in a closed-world way. We combine our approach with a top-down refinement-based search with Description Logic (DL) expressions which
dc.identifier.isbn9783319137032
dc.identifier.urihttp://hdl.handle.net/1885/52875
dc.publisherSpringer
dc.relation.ispartofseries19th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2014
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.titleClosed-world concept induction for learning in OWL knowledge bases
dc.typeConference paper
local.bibliographicCitation.lastpage440
local.bibliographicCitation.startpage429
local.contributor.affiliationRatcliffe, David, College of Engineering and Computer Science, ANU
local.contributor.affiliationTaylor, Kerry, College of Engineering and Computer Science, ANU
local.contributor.authoremailu4972408@anu.edu.au
local.contributor.authoruidRatcliffe, David, u4972408
local.contributor.authoruidTaylor, Kerry, u3769039
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080399 - Computer Software not elsewhere classified
local.identifier.ariespublicationa383154xPUB258
local.identifier.doi10.1007/978-3-319-13704-9_33
local.identifier.scopusID2-s2.0-84914141675
local.identifier.uidSubmittedBya383154
local.type.statusPublished Version

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