International Business Machines Corporation

Douglas Scott Harger

Scott Schumacher

Edward Eugene Seabolt

Erik Hume Jones

Embodiments disclosed herein provide a system and method for associating data records in multiple languages within a single hub. As a record comes in from an information source coupled to the hub, it is associated with a particular language at a core layer. The hub maps each language one-to-one to a member type. For each data record of a particular member type, unique derivation code is utilized to perform standardization and bucketing at a derived layer. A weight may be used to balance the richness of languages so that data records in different languages can have the same statistical meaning. Since attributes are standardized with respect to a language of a data record, appropriate languages or script can be passed along with the data record. The hub can then match the data record to the optimum algorithm(s) for entity processing at an entity layer.

Associating data records in multiple languages

Embodiments of a method for managing entities include candidate selection by a transitive bucketing process where at least one attribute of an initial data record is used to determine a set of candidate data records corresponding to the initial data record. For each candidate data record thus determined, additional candidate data record(s) may be determined using attribute(s) not used in linking the candidate data record to the initial data record. This process may be repeated until no more candidate data records are returned. The initial data record and related candidates thus determined are then resolved into group entities, each having member records that match one another above a certain threshold. If no match is found, a group entity comprising a single data record may be created. These group entities are then reconciled with other entities in a master entity index system.

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Spicewood, TX, United States of America

Douglas Scott Harger