Probabilistic RDF

  • Udrea O
  • Subrahmanian V
  • Majkić Z
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{RDF} is rapidly being adopted around the world as a paradigm for knowledge representation. However, we are not aware of any version of {RDF} that can express probabilistic knowledge. In this paper, we develop a framework called probabilistic {RDF} ({pRDF} for short) - we provide a syntax as well as a model theoretic and fixpoint semantics for acyclic {pRDF} theories. We then provide algorithms to efficiently answer queries posed to {pRDF} ontologies. We have developed a prototype implementation that shows that our algorithms work very well in practice

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  • Octavian Udrea

  • V. S. Subrahmanian

  • Zoran Majkić

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