Reconciliation is the process of providing a consistent view of the data imported from different sources. Despite some efforts reported in the literature for providing data reconciliation solutions with asynchronous collaboration, the challenge of reconciling data when multiple users work asynchronously over local copies of the same imported data has received less attention. In this paper, we p...

This report focuses on the problem of bioinformatics service reconciliation in a generic and scalable manner so as to enhance interoperability in a highly evolving field. Using XML as a common representation format, but also supporting existing flat-file representation formats, we propose an approach for the scalable semi-automatic reconciliation of services, possibly invoked from within a scie...

To determine the mechanism of molecular evolution, a reconciliation graph is constructed from two heterogeneous trees, which are referred to as ordered trees. In the reconciliation graph, the leaf nodes of the two ordered trees face each other. Furthermore, leaf nodes with the same label name are connected to each other by an edge. To carry out reconciliation work efficiently, it is necessary t...

This article proposes a new method for data assimilation and data reconciliation problems applicable to systems modeled by conservation laws. The problem is solved directly in the equivalent format of a Hamilton–Jacobi partial differential equation, for which the solution is fully characterized by a Lax–Hopf formula. Using properties of the solution, we prove that when the data of the problem i...

The reference reconciliation problem consists in deciding whether different identifiers refer to the same data, i.e. correspond to the same real world entity. In this article we present a reference reconciliation approach which combines a logical method for reference reconciliation called L2R and a numerical one called N2R. This approach exploits the schema and data semantics, which is translat...

The two-way continuous-variable quantum key distribution (CVQKD) systems allow higher key rates and improved transmission distances over standard telecommunication networks in comparison to the one-way CVQKD protocols. To exploit the real potential of two-way CVQKD systems a robust reconciliation technique is needed. It is currently unavailable, which makes it impossible to reach the real perfo...

Semantic reconciliation is an important step in determining logical connectivity between a data source (database) and a data receiver (application). Semantic reconciliation is used to determine if the semantics of the data provided by the source is meaningful to the receiver. In this paper we describe an automatic method to establish such semantic agreement through the use of metadata. This wor...

The two-way continuous-variable quantum key distribution (CVQKD) systems allow higher key rates and improved transmission distances over standard telecommunication networks in comparison to the one-way CVQKD protocols. To exploit the real potential of two-way CVQKD systems a robust reconciliation technique is needed. It is currently unavailable, which makes it impossible to reach the real perfo...

A major barrier for computer-based clinical decision support (CDS), is the difficulty in obtaining the patient information required for decision making. The information gap is often due to deficiencies in the clinical documentation. One approach to address this gap is to gather and reconcile data from related documents or data sources. In this paper we consider the case of a CDS system for colo...

With the popularity of information repositories, merging information available at various heterogeneous data sources has become an interesting problem. The data at the various sources might itself be structured, semi-structured or unstructured and the integration process involves reconciliation at various levels. XML has recently emerged as a good candidate in providing a unified view through a...