The final publication is available via <a href="https://doi.org/10.1007/978-3-319-59692-1_2" target="_blank">https://doi.org/10.1007/978-3-319-59692-1_2</a>.
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dc.description.abstract
Many realistic scenarios call for answers to questions involving vague expressions like almost all, about half, or at least about a third. We present a modular extension of classical first-order queries over relational databases, with binary, proportional, semi-fuzzy quantifiers modeling such expressions via random sampling. The extended query language has an intuitive semantics, and allows one to pose natural queries whose answers. This is also demonstrated by experiments with an implementation involving the (geographical) MONDIAL data set.
en
dc.description.sponsorship
Austrian Science Funds (FWF)
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dc.language
English
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dc.language.iso
en
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dc.relation.ispartofseries
Lecture Notes in Computer Science
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
querying
en
dc.subject
RDF
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dc.subject
semi-fuzzy quantifiers
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dc.subject
probabilistic semantics
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dc.title
Querying with Vague Quantifiers Using Probabilistic Semantics
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.relation.publication
Flexible Query Answering Systems - 12th International Conference, FQAS 2017, London, UK, June 21-22, 2017, Proceedings ; Christiansen, Henning; Jaudoin, Hélène; Chountas, Panagiotis; Andreasen, Troels; Larsen, Henrik Legind
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dc.relation.isbn
9783319596921
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dc.relation.grantno
I1897-N25
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dc.rights.holder
Springer International Publishing AG 2017
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dc.type.category
Full-Paper Contribution
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tuw.container.volume
10333
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tuw.relation.publisher
Cham
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tuw.version
am
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tuw.publication.orgunit
E192 - Institut für Logic and Computation
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tuw.publisher.doi
10.1007/978-3-319-59692-1_2
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dc.identifier.libraryid
AC15058951
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dc.identifier.urn
urn:nbn:at:at-ubtuw:3-3467
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tuw.author.orcid
0000-0003-2932-5477
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tuw.author.orcid
0000-0002-2344-9658
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dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.languageiso639-1
en
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item.openaccessfulltext
Open Access
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item.openairetype
conference paper
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item.grantfulltext
open
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crisitem.author.dept
E192-05 - Forschungsbereich Theory and Logic
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crisitem.author.dept
E192-05 - Forschungsbereich Theory and Logic
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crisitem.author.dept
E192-03 - Forschungsbereich Knowledge Based Systems