International Business Machines Corporation

Claudio Andrea Fanconi

Martin Oberhofer

Yannick Saillet

Mike W Grasselt

Lars Bremer

Robert Kern

Hemanth Kumar Babu

Thuany Karoline Stuart

Basem Elasioty

Jonathan Roesner

Karin Steckler

The present disclosure relates to a method comprising providing a set of one or more records, each record of the set of records having a set of one or more attributes. Values of the set of attributes of the set of records may be input to a trained data representation learning model for receiving, as an output of the trained data representation model, a set of feature vectors representing the set of records respectively. The set of feature vectors may be stored.

Method and system for processing data records

The present disclosure relates to a method for a weighting graph comprising nodes representing entities and edges representing relationships between entities in accordance with one or more domains. The method comprises: pre-processing the graph comprising assigning weights to the nodes and/or the edges of the graph in accordance with a specific domain of the domains, wherein the weight indicates a domain specific data quality problem of attribute values representing an edge of the edges and/or an entity involved in that edge. The weighted graph may be provided for enabling a processing of the graph in accordance with the specific domain.

Method for weighting a graph

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Celerina, Switzerland

Claudio Andrea Fanconi