This demonstration illustrates how a comprehensive database reconciliation tool can provide the ability to characterize data-quality and data-reconciliation issues in complex real-world applications. Telcordia’s data reconciliation and data quality analysis tool includes rapid generation of appropriate pre-processing and matching rules applied to a training set created from samples of the data....

Accuracy of process data is defined as the sum of the bias of the measurement plus its precision. In this paper, we overview the effect of using data reconciliation in the accuracy of data and we show the benefits of installing data reconciliation thus providing a tool to determine if a data reconciliation package is financially justified. Because new sensors improve the power of data reconcili...

Entity reconciliation—linking names or terms to identifiers in external datasets—is a popular method of adding standardized structured data to loosely structured documents. Most approaches to entity reconciliation rely on remote web services, requiring network access during the reconciliation process. For use cases that rely on a “human in the loop” (reconciling entities during the authoring pr...

The technique of data reconciliation crucially depends on the assumption that only random errors are present in the data and systematic errors either in the measurements or the model equations are not present. If this assumption is invalid, reconciliation can lead to large adjustments being made to the measured values, and the resulting estimates can be very inaccurate and even infeasible. Thus...

The reference reconciliation problem consists of deciding whether different identifiers refer to the same world entity. Some existing reference reconciliation approaches use key constraints to infer reconciliation decisions. In the context of the Linked Open Data, this knowledge is not available. We propose KD2R, a method which allows automatic discovery of key constraints associated to OWL2 cl...

This paper presents the first participation of LN2R system in IM@OAEI2010, the Instance Matching track of Ontology Alignment Evaluation Initiative 2010 Campaign. In particular, we participated in OWL data track by performing LN2R system on Person-Restaurant data set. We obtained very good results on person data sets and reasonable results on restaurant data set. 1 Presentation of the system To ...

BACKGROUND Previous studies suggest that some medications, including proton pump inhibitors and β-agonist inhalers, are administered to hospitalized patients and sometimes continued without indications. Medication reconciliation has been offered as one mechanism to reduce the frequency of such medication errors and is now mandated by the Joint Commission (NPSG.03.06.01). We hypothesized that (1...

We propose an efficient logical layer-based reconciliation method for continuous-variable quantum key distribution (CVQKD) to extract binary information from correlated Gaussian variables. We demonstrate that by operating on the raw-data level, the noise of the quantum channel can be corrected in the low-dimensional (scalar) space, and the reconciliation can be extended to arbitrary dimensions....