DC Field
Value
Language
dc.contributor.author
Fermüller, Christian
-
dc.contributor.author
Hofer, Matthias
-
dc.contributor.author
Ortiz, Magdalena
-
dc.contributor.editor
Christiansen, Henning
-
dc.contributor.editor
Jaudoin, Hélène
-
dc.contributor.editor
Chountas, Panagiotis
-
dc.contributor.editor
Andreasen, Troels
-
dc.contributor.editor
Larsen, Henrik Legind
-
dc.date.accessioned
2020-06-27T18:19:56Z
-
dc.date.issued
2017
-
dc.identifier.citation
<div class="csl-bib-body"> <div class="csl-entry">Fermüller, C., Hofer, M., &#38; Ortiz, M. (2017). Querying with Vague Quantifiers Using Probabilistic Semantics. In H. Christiansen, H. Jaudoin, P. Chountas, T. Andreasen, &#38; H. L. Larsen (Eds.), <i>Flexible Query Answering Systems : 12th International Conference, FQAS 2017, London, UK, June 21–22, 2017, Proceedings</i>. Springer Cham. https://doi.org/10.1007/978-3-319-59692-1_2</div> </div>
-
dc.identifier.uri
https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-3467
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/893
-
dc.description
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>.
-
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)
-
dc.language
English
-
dc.language.iso
en
-
dc.relation.ispartofseries
Lecture Notes in Computer Science
-
dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
-
dc.subject
querying
en
dc.subject
RDF
en
dc.subject
semi-fuzzy quantifiers
en
dc.subject
probabilistic semantics
en
dc.title
Querying with Vague Quantifiers Using Probabilistic Semantics
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.relation.isbn
9783319596921
-
dc.relation.doi
10.1007/978-3-319-59692-1
-
dc.relation.issn
0302-9743
-
dc.relation.grantno
I1897-N25
-
dc.rights.holder
Springer International Publishing AG 2017
-
dc.type.category
Full-Paper Contribution
-
dc.relation.eissn
1611-3349
-
tuw.booktitle
Flexible Query Answering Systems : 12th International Conference, FQAS 2017, London, UK, June 21–22, 2017, Proceedings
-
tuw.container.volume
10333
-
tuw.book.ispartofseries
Lecture Notes in Computer Science
-
tuw.relation.publisher
Springer Cham
-
tuw.version
am
-
tuw.publication.orgunit
E192 - Institut für Logic and Computation
-
tuw.publisher.doi
10.1007/978-3-319-59692-1_2
-
dc.identifier.libraryid
AC15058951
-
dc.description.numberOfPages
12
-
dc.identifier.urn
urn:nbn:at:at-ubtuw:3-3467
-
tuw.author.orcid
0000-0003-2932-5477
-
tuw.author.orcid
0000-0002-2344-9658
-
dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
tuw.event.name
FQAS: International Conference on Flexible Query Answering Systems 2017
-
tuw.event.startdate
21-06-2017
-
tuw.event.enddate
22-06-2017
-
tuw.event.online
On Site
-
tuw.event.type
Event for scientific audience
-
tuw.event.place
London
-
tuw.event.country
GB
-
tuw.event.presenter
Fermüller, Christian
-
item.grantfulltext
open
-
item.openairetype
conference paper
-
item.fulltext
with Fulltext
-
item.languageiso639-1
en
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
item.openaccessfulltext
Open Access
-
item.cerifentitytype
Publications
-
crisitem.author.dept
E192-05 - Forschungsbereich Theory and Logic
-
crisitem.author.dept
E370-02 - Forschungsbereich Elektrische Antriebe und Maschinen
-
crisitem.author.dept
E192-03 - Forschungsbereich Knowledge Based Systems
-
crisitem.author.orcid
0000-0003-2932-5477
-
crisitem.author.orcid
0000-0002-2344-9658
-
crisitem.author.parentorg
E192 - Institut für Logic and Computation
-
crisitem.author.parentorg
E370 - Institut für Energiesysteme und Elektrische Antriebe
-
crisitem.author.parentorg
E192 - Institut für Logic and Computation
-
Appears in Collections:
Conference Paper
Thumbnail
Hofer Matthias - 2017 - Querying with Vague Quantifiers Using Probabilistic...pdf
Adobe PDF
(573.41 kB)
Open Access
Show simple item record

Page view(s)

336
checked on Dec 1, 2023

Download(s)

281
checked on Dec 1, 2023

Google ScholarTM

Check