International Business Machines Corporation

Christopher John Butler

Bo Han

Timothy Michael Lynar

Shaila Pervin

Jennifer C Lai

Anca Sailer

Arun Kumar

Rahil Garnavi

Malgorzata Steinder

Jennifer Ceil Lai

James R Doran

Qiang Chen

Ying Xu

Nebula Alam

Khoi-Nguyen Dao Tran

Ross Warren Judd

Juerg Von Kaenel

Philippe Mulet

Adam Joseph Makarucha

Lianhua Chi

Jennifer Lai

Anna T T Phan

A computer-implemented prediction method, system, and computer program product including detecting an anomaly between at least two images in a social media timeline, analyzing at least one of contextual data and image data associated with the at least two images that cause the anomaly, and predicting an actual time of the at least two images in the social media timeline based on the analyzed at least one of contextual data and image data.

Predicting a time of non-real time posts using contextual metadata

A compliance discovery and integration process is implemented in association with a cloud-based security and compliance platform and associated CI/CD framework. The process assumes an existing DevOps-based deployment of a product, such as an enterprise application that executes in a runtime production environment. The technique of this disclosure addresses the problem of misalignment between a compliance policy and the product's post-deployment regulation posture by providing tools and methods that enable pro-active augmentation of governance and compliance policy during the pre-deployment phase and with respect to a next deployment of the product (e.g., a next or updated version). Thus, when the product is later deployed in its next deployment, its regulation posture (post-deployment) is already consistent with the compliance policy.

Discovering and using application deployment dependencies to augment governance and compliance policy

A technique relates to communication resource allocation. A computer system monitors a communication between a conversational entity communication channel and a user device. A type of the communication associated with the user device is determined based on the communication. A replacement communication channel to replace the conversational entity communication channel is determined, in response to the type of the communication. The replacement communication channel is coupled to the user device in place of the conversational entity communication channel.

Communication resource allocation

A method for displaying a visual representation corresponding to a carriage capacity may include obtaining passenger data of passengers onboard a carriage of a multi-carriage vehicle. The method may further include predicting, based at least in part on the first passenger data, a number of passengers who will exit the carriage at a destination. The method may further include determining, based at least in part on the predicting, an available capacity for the carriage and generating a visual representation that corresponds to the available capacity. The method may further include displaying the visual representation at the destination of the multi-carriage vehicle.

Distribution management for public transit vehicles

Segmentation and classification of documents in a mixed security environment includes receiving a document including a plurality of subcomponents. A security classification level of each of the plurality of subcomponents is determined using a first classification model. The security classification level of each subcomponent includes one of a first classification level and a second classification level. A first subcomponent having the first classification level is routed to a first environment having a first security level. A second subcomponent having the second classification level is routed to a second environment having a second security level. A pointer for the second subcomponent is determined in which the pointer references a portion of the first subcomponent.

Segmenting, redacting, and transporting secure documents in a mixed security environment

A method for identifying correlated datasets comprises receiving a natural language query from a user, extracting electronic metadata from a plurality of computerized datasets, correlating the electronic metadata with the natural language query using natural language processing, calculating a correlation score between the natural language query and each of the plurality of electronic datasets, and returning a result to the user, wherein the result includes one or more datasets of the plurality of electronic datasets with a correlation score greater than or equal to a threshold.

System and method for metadata correlation using natural language processing

An augmented reality display system used to diminish (for example, obscure, obfuscate, hide, make less distracting, block out, 'white wash' and/or make less discernible) certain portions of a base image (for example, a user's view of a part of the real world as seen through eyeglasses). Some examples of visual subject matter that can be diminished include: (i) driver distraction phenomena; (ii) advertising; and/or (iii) subject matter the user is not authorized to view.

Reality augmentation to eliminate, or de-emphasize, selected portions of base image

Embodiments include method, systems and computer program products for data-dependent clustering of geospatial words. In some embodiments, a matrix of words and locations may be obtained. A plurality of locality-sensitive hash (LSH) functions may be generated. A plurality of sparse row vectors may be generated. A plurality of sparse LSH functions may be generated based on the plurality of LSH functions. A clustering bucket may be determined from a plurality of clustering buckets for each of the plurality of sparse row vectors using the sparse LSH functions.

Data-dependent clustering of geospatial words

Dynamically modelling geospatial words in social media, in one aspect, generates a word set based on frequencies of words occurring in GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates. Locations are partitioned by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations. A text stream contained in the GPS annotated text data is segmented into time windows. Footprints of locations in time windows are generated. Geospatial weights associated with words in the word set may be generated based on localness of words determined based on the footprints. Words in a text message are extracted and scores are determined for the set of discrete non-overlapped locations associated with the words.

Dynamic modeling of geospatial words in social media

Dynamically modelling geospatial words in social media, in one aspect, generates a word set based on frequencies of words occurring in GPS annotated text data generated by a GPS-enabled device containing latitude and longitude coordinates. Locations are partitioned by mapping GPS coordinates in the GPS annotated text data to a set of discrete non-overlapped locations. A text stream contained in the GPS annotated text data is segmented into time windows. Footprints of locations in time windows are generated. Geospatial weights associated with words in the word set are generated based on localness of words determined based on the footprints. Words in a text message are extracted and scores are determined for the set of discrete non-overlapped locations associated with the words.

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Hawthorn East, Australia

Christopher John Butler