A Minimal Deductive System for General Fuzzy RDF

  • Authors:
  • Umberto Straccia

  • Affiliations:
  • Istituto di Scienza e Tecnologie dell'Informazione (ISTI - CNR), Pisa, Italy

  • Venue:
  • RR '09 Proceedings of the 3rd International Conference on Web Reasoning and Rule Systems
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

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.