International Business Machines Corporation

Interset Software, Inc.

Michael Iles

Stephan F Jou

Alireza Pourshahid

Craig A Statchuk

Shaun Pilkington

Vinay N Wadhwa

Michael John Cyze

Steven R McDougall

Wesley Lawrence

Josh Christopher Tyler Mahonin

Michael A Duplessis

Andreas Eminidis

Ronald L Gagnier

David J Ridgeway

Predictive entity resolution uses a set of identity models to resolve an attribute to one or more associated entities, possibly with respective probabilities, at a particular time. The predictive entity resolution generates the sets of identity models from evidence events received from evidence sources. Each evidence event has at least one attribute and an associated time stamp.

Predictive entity resolution

Sensitive data may be anonymized for use in user interfaces by applying a cryptographic hash function to the data. The hashed value may be broken into hash tokens and the hash tokens converted to human readable tokens using a 1:1 conversion function. The human readable tokens can then be concatenated together to provide a human readable identifier of the sensitive data.

Anonymization of sensitive data for use in user interfaces

An application executing on a target platform renders one or more widgets of one or more widget types that are specified by a document including, for each respective widget type from the one or more widget types: render, by a first widget renderer for the respective widget type, the one or more widgets of the respective widget type upon determining that the application includes the first widget renderer for the respective widget type, and render, by a second widget renderer for the respective widget type, the one or more widgets of the respective widget type upon determining that the application does not include the first widget renderer for the respective widget type. The second widget renderer may be different from the first widget renderer.

Cross-platform document presentation

A mechanism is provided for automatically performing join operations. Source data is received and a metadata model is received. The metadata model includes a hierarchical structure. The source data is aligned to the hierarchical structure in the metadata model to form a source data hierarchy. Based on the source data hierarchy, the source data is joined to geocoded information.

Geospatial database integration using business models

Growing community of inventors

Ottawa, Canada

Michael Iles