Data integration with uncertainty

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Ten Challenges for Ontology Matching (2008, background): “Finally, the work in [16] introduced the notion of probabilistic schema mappings (correspondences), namely a set of mappings with a probability attached to each mapping; and, used it to answer queries with uncertainty about semi-automatically created mappings.”
Machine Reading at the University of Washington (2010, methodology): “As case studies in ontology integration, prior research has devised probabilistic schema mappings and corpus-based matching algorithms (Doan, 2002; Madhavan, 2005; Dong et al., 2007), and has automatically constructed mappings between the Wikipedia infobox “ontology” and the Freebase ontology.”
A Survey of Uncertain Data Algorithms and Applications (2009, background): “A first approach to this problem has been discussed in [37].”