Querying with Vague Quantifiers Using Probabilistic Semantics

Fermüller, Christian; Hofer, Matthias; Ortiz, Magdalena

doi:10.1007/978-3-319-59692-1_2

Datensatz Zitierlink:

https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-3467
http://hdl.handle.net/20.500.12708/893

Titel:

Querying with Vague Quantifiers Using Probabilistic Semantics

Zitat:

Fermüller, C., Hofer, M., & Ortiz, M. (2017). Querying with Vague Quantifiers Using Probabilistic Semantics. In H. Christiansen, H. Jaudoin, P. Chountas, T. Andreasen, & H. L. Larsen (Eds.), Flexible Query Answering Systems : 12th International Conference, FQAS 2017, London, UK, June 21–22, 2017, Proceedings. Springer Cham. https://doi.org/10.1007/978-3-319-59692-1_2

CatalogPlus:

AC15058951

Verlags-DOI:

10.1007/978-3-319-59692-1_2

Publikationstyp:

Konferenzbeitrag - Full-Paper Contribution

Sprache:

Englisch

Autor_innen:

Fermüller, Christian
Hofer, Matthias
Ortiz, Magdalena

Organisationseinheit:

E192 - Institut für Logic and Computation

Erschienen in:

Flexible Query Answering Systems : 12th International Conference, FQAS 2017, London, UK, June 21–22, 2017, Proceedings

ISBN:

9783319596921

Band:

10333

DOI des Buches:

10.1007/978-3-319-59692-1

Datum (veröffentlicht):

2017

Veranstaltungsname:

FQAS: International Conference on Flexible Query Answering Systems 2017

Veranstaltungszeitraum:

21-Jun-2017 - 22-Jun-2017

Veranstaltungsort:

London, Vereinigtes Königreich

Umfang:

Verlag:

Springer Cham

Keywords:

querying; RDF; semi-fuzzy quantifiers; probabilistic semantics

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.

Weitere Information:

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>.

Lizenz:

Urheberrechtsschutz

Enthalten in den Sammlungen:

Conference Paper