It is well-known that crisp RDF is not suitable to represent vague information. Fuzzy RDF variants are emerging to overcome this limitations. In this work we provide, under a very general semantics, a deductive system for a salient fragment of fuzzy RDF. We then also show how we may compute the top-k answers of the union of conjunctive queries in which answers may be scored by means of a scoring function.

A minimal deductive system for general fuzzy RDF

Straccia U
2009

Abstract

It is well-known that crisp RDF is not suitable to represent vague information. Fuzzy RDF variants are emerging to overcome this limitations. In this work we provide, under a very general semantics, a deductive system for a salient fragment of fuzzy RDF. We then also show how we may compute the top-k answers of the union of conjunctive queries in which answers may be scored by means of a scoring function.
2009
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
3rd International Conference on Web Reasoning and Rule Systems
3rd International Conference on Web Reasoning and Rule Systems
5837
166
181
978-3-642-05082-4
http://link.springer.com/chapter/10.1007%2F978-3-642-05082-4_12
Springer-Verlag Berlin
Berlin
GERMANIA
Sì, ma tipo non specificato
25-26/10/2009
Chantilly, VA, USA
RDF
Fuzzy Logic
1
restricted
Straccia U.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/40861
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