We show that annotated RDF supports users who need to think about the uncertainty, temporal aspects, and provenance of the RDF triples in an RDF database. We ...
Abstract: 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 ...
Representing Probabilistic Knowledge in the Semantic Web - W3C
www.w3.org › 13-Yoshio › PositionPaper
The aim of this position paper is (1) to propose a vocabulary for representing probabilistic knowledge in RDF, and (2) to present a framework for probability ...
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 inference will be of special impor- tance when one needs to know how much we can say with what all we know given new observa- tions. Bayesian ...
In this paper, we tackle the problem of efficiently answering queries on probabilistic RDF data graphs. Specifically, we model RDF data by probabilistic ...
The core operation of queries on an RDF probabilistic database is computing the probability of the result to a query. In this paper, we describe a general ...
Mar 26, 2019 · A probabilistic RDF R is a pair (G, ρ) where G is an RDF graph and ρ is a total function from G → (0,1]. Intuitively speaking, ρ is a ...
ABSTRACT. In this paper, we tackle the problem of efficiently answering queries on probabilistic RDF data graphs. Specifically, we model RDF data.
In many real applications, RDF (Resource Description Framework) has been widely used as a W3C standard to describe data in the Semantic Web.