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ERCIMDL
2007
Springer

A Model of Uncertainty for Near-Duplicates in Document Reference Networks

10 years 4 months ago
A Model of Uncertainty for Near-Duplicates in Document Reference Networks
We introduce a model of uncertainty where documents are not uniquely identified in a reference network, and some links may be incorrect. It generalizes the probabilistic approach on databases to graphs, and defines subgraphs with a probability distribution. The answer to a relational query is a distribution of documents, and we study how to approximate the ranking of the most likely documents and quantify the quality of the approximation. The answer to a function query is a distribution of values and we consider the size of the interval of Minimum and Maximum values as a measure for the precision of the answer.
Claudia Hess, Michel de Rougemont
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where ERCIMDL
Authors Claudia Hess, Michel de Rougemont
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