Different methods have been proposed for merging multiple and potentially conflicting informations. Sum-based operators offer a natural method for merging commensurable prioriti...
Abstract. In this paper we introduce a fixpoint semantics for quantitative logic programming, which is able to both combine and correlate evidence from different sources of infor...
Abstract. Logic-based argumentation offers an approach to querying and revising multiple ontologies that are inconsistent or incoherent. A common assumption for logic-based argumen...
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
Much research on context quality in context-aware systems divides into two strands: (1) the qualitative identication of quality measures and (2) the use of uncertain reasoning tec...
Susan McKeever, Juan Ye, Lorcan Coyle, Simon Dobso...
Open architectures demand for a federation of data from different context providers, which nearly always will be inconsistent to a certain degree. We present an approach for the ev...
Within the Geospatial Semantic Web, selecting a different ontology for a spatial data set will enable that data’s analysis in a different context. Analyses of multiple data sets,...