Querying with Vague Quantifiers Using Probabilistic Semantics

Hofer, Matthias; Fermüller, Christian G.; Ortiz, Magdalena

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

Record link:

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

Title:

Querying with Vague Quantifiers Using Probabilistic Semantics

Citation:

Hofer, M., Fermüller, C. G., & Ortiz, M. (2017). Querying with Vague Quantifiers Using Probabilistic Semantics. In 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. Cham. https://doi.org/10.1007/978-3-319-59692-1_2

CatalogPlus:

AC15058951

Publisher DOI:

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

Publication Type:

Inproceedings - Full-Paper Contribution

Konferenzbeitrag - Full-Paper Contribution

Language:

English

Authors:

Hofer, Matthias
Fermüller, Christian G.
Ortiz, Magdalena

Organisational Unit:

E192 - Institut für Logic and Computation

ISBN:

9783319596921

Volume:

10333

Date (published):

2017

Publisher:

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.

Additional 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>.

License:

In Copyright

Appears in Collections:

Conference Paper