Paper Info
Title
A Minimal Deductive System for General Fuzzy RDF
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.
Year
DOI
Venue
2009
10.1007/978-3-642-05082-4_12
RR
Keywords
Field
DocType
vague information,general semantics,minimal deductive system,general fuzzy rdf,crisp rdf,fuzzy rdf variant,top-k answer,scoring function,conjunctive query,salient fragment,deductive system,fuzzy rdf,score function,conjunctive queries
Data mining,Conjunctive query,Information retrieval,Computer science,Fuzzy logic,General semantics,RDF Schema,RDF,Salient
Conference
Volume
ISSN
Citations 
5837
0302-9743
12
PageRank 
References 
Authors
0.69
13
1
Name
Order
Citations
PageRank
Umberto Straccia12731251.15