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A minimal deductive system for general fuzzy RDF

Conference Paper
Publication Date:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
RDF; Fuzzy Logic
List of contributors:
Straccia, Umberto
Authors of the University:
STRACCIA UMBERTO
Handle:
https://iris.cnr.it/handle/20.500.14243/40861
Book title:
3rd International Conference on Web Reasoning and Rule Systems
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URL

http://link.springer.com/chapter/10.1007%2F978-3-642-05082-4_12
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