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dc.contributor.authorNguyen, Thanh Toan
dc.contributor.authorPhan, Thanh Cong
dc.contributor.authorDuong, Chi Thang
dc.contributor.authorNguyen, Quoc Viet Hung
dc.contributor.authorStantic, Bela
dc.contributor.editorWang, J
dc.contributor.editorCong, G
dc.contributor.editorChen, J
dc.contributor.editorQi, J
dc.date.accessioned2019-07-04T12:33:11Z
dc.date.available2019-07-04T12:33:11Z
dc.date.issued2018
dc.identifier.issn0302-9743
dc.identifier.doi10.1007/978-3-319-92013-9_29
dc.identifier.urihttp://hdl.handle.net/10072/379928
dc.description.abstractSchema covering is the process of representing large and complex schemas by easily comprehensible common objects. This task is done by identifying a set of common concepts from a repository called concept repository and generating a cover to describe the schema by the concepts. Traditional schema covering approach has two shortcomings: it does not model the uncertainty in the covering process, and it requires user to state an ambiguity constraint which is hard to define. We remedy this problem by incorporating probabilistic model into schema covering to generate probabilistic schema cover. The integrated probabilities not only enhance the coverage of cover results but also eliminate the need of defining the ambiguity parameter. Experiments on real-datasets show the competitive performance of our approach.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeGermany
dc.relation.ispartofpagefrom336
dc.relation.ispartofpageto342
dc.relation.ispartofjournalLecture Notes in Computer Science
dc.relation.ispartofvolume10837
dc.subject.fieldofresearchInformation and Computing Sciences not elsewhere classified
dc.subject.fieldofresearchcode089999
dc.titleBootstrapping uncertainty in schema covering
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.hasfulltextFull Text
gro.griffith.authorStantic, Bela
gro.griffith.authorNguyen, Henry


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