International Business Machines Corporation

Edward Eugene Seabolt

Florian Pinel

Donna Karen Byron

Lakshminarayanan Krishnamurthy

Robert N Redmond

Brian Hull

William S Spann, Iii

Carmine M DiMascio

Domenic A Venuto

Alexander Pikovsky

Eser Kandogan

Swaminathan Chandrasekaran

Mary Swift

John P Bufe, Iii

Mary Ann Roth

Joseph M Kaufmann

Harsha V Krishnareddy

Erik Hume Jones

Douglas Scott Harger

An embodiment of the invention may include a method, computer program product, and system for unified data governance. The embodiment may include populating a context graph with to-be-governed data, by a machine learning framework in communication with a suite of enterprise application servers via one or more connector components. The to-be-governed data is retrieved from the suite of enterprise application servers. The embodiment may include training a plurality of machine learning models using the context graph and the to-be-governed-data based on user-defined parameters. The embodiment may include persisting properties of the plurality of machine learning models back to the context graph.

Contextual intelligence for unified data governance

A method of configuring a widget defining a user interface includes parsing content from a corpus comprising documents describing a plurality of products, selecting a plurality of pillars from the content, wherein the pillars are descriptors describing a product space of the products, determining an affinity of each of the products to each of the pillars, receiving, via the widget, a selection of a first pillar, and displaying a given product in the widget, the given product selected from the products given the selection of the first pillar.

Automated curation of digital information and user interface for same

A method includes determining, by a controller, characteristics of a hosting digital composition, wherein the digital composition hosts a digital advertisement. The method also includes dynamically modifying at least one characteristic of the digital advertisement based at least on the determined characteristics of the hosting digital composition to create a modified digital advertisement. The modifying the at least one characteristic of the digital advertisement configures the digital advertisement to be visually and/or semantically integrated within the hosting digital composition. The method also includes displaying the modified digital advertisement within the hosting digital composition.

Visually and/or semantically integrating a digital advertisement within a digital composition

A search space can be reduced using a pruned ontology that comprises entities from an initial ontology. A document corpus having a plurality of documents is received for processing. An ontology pruner determines a set of entities in the plurality of documents. For each entity in the set of entities, the ontology pruner determines a link for the entity in the initial ontology. The ontology pruner determines a score for the entity based on information obtained through the link for the entity in the initial ontology. The ontology pruner omits the entity from the pruned ontology if the score is below a predetermined or configurable threshold value.

Search space reduction for knowledge graph querying and interactions

Aspects of the invention include receiving, at a processing system, weather data that is associated with a target consumer. Content of a digital advertisement for a vendor is selected based at least in part on the weather data that is associated with the target consumer, and information about an item or a service provided by the vendor. The digital advertisement, including the content, is transmitted for presentation to the target consumer via a user interface. A response to the digital advertisement is received from the target consumer. The content of the digital advertisement is modified based at least in part on the response to the digital advertisement from the target consumer. The digital advertisement, including the modified content, is transmitted for presentation to the target consumer via the user interface.

Cognitive advertising triggered by weather data

A mechanism is provided for validating an attachment to an electronic communication being composed based on the recipients of the electronic communication. An associated tone or theme of the at least one attachment to the electronic communication being composed by a sender and an identity of each of one or more recipients to whom the electronic communication is to be sent and the sender are identified. One or more previous electronic communications sent to or received from one or more of the one or more recipients and at least one tone of each of the one or more previous electronic communications are identified in order to generate one or more preferred tones. Responsive to identifying a tone discrepancy between the tone or theme of the at least one attachment and the one or more preferred tones, a notification is presented to the sender.

Validating an attachment of an electronic communication based on recipients

A mechanism is provided for validating the tone of an electronic communication being composed based on the recipients of the electronic communication. At least one tone of the electronic communication being composed by a sender and an identity of each of one or more recipients to whom the electronic communication is to be sent and the sender are identified. One or more previous electronic communications sent to or received from one or more of the one or more recipients and at least one tone of each of the one or more previous electronic communications are identified in order to generate one or more preferred tones. The tone of the electronic communication being composed is compared to the one or more preferred tones. Responsive to identifying a tone discrepancy between the electronic communication being composed and the one or more preferred tones, a notification is presented to the sender.

Validating the tone of an electronic communication based on recipients

Analysis of descriptions accompanying designs to determine matching available artifacts. A description of a design (e.g., interior design, fashion) is analyzed to determine characteristics of the design (e.g., colors, patterns), and artifacts matching those characteristics (e.g., fabrics, furniture) are identified.

Identifying combinations of artifacts matching characteristics of a model design

A first food ingredient may be received. The first food ingredient may comprise a first plurality of chemical constituents. A plurality of candidate food ingredient substitutes may be received. Each candidate food ingredient substitute may comprise a second plurality of chemical constituents. For each of the plurality of candidate food ingredient substitutes, a quantity of the second plurality of chemical constituents that match the first plurality of chemical constituents may be determined. One or more food ingredient substitutes may be identified based on at least the quantity of the second plurality of chemical constituents that match the first plurality of chemical constituents.

Identifying substitute ingredients using a natural language processing system

Mechanisms are provided for answering an input question. An input question to be answered from a source is received and processed to one or more extract features of the input question. The extracted one or more features are compared to cached features stored in one or more entries of a question and answer (QA) cache. A determination is made as to whether there is a matching entry in the one or more entries of the QA cache based on results of the comparing and, if so, candidate answer information is retrieved from the matching entry. The retrieved candidate answer information is returned to the source of the input question as candidate answer information for answering the input question.

Caching natural language questions and results in a question and answer system

A system, and computer program product for disambiguation of dependent referring expression in natural language processing are provided in the illustrative embodiments. A portion of a document in a set of document is selected, the portion including a set of dependent referring expression instances. The portion is filtered to identify an instance from a set of dependent referring expression instances by using a linguistic characteristic of the instance, the instance of dependent referring expression referring to a full expression occurring in the set of documents. The full expression is located in one member document in the set of documents by locating where the dependent referring expression is defined to be a stand-in for the full expression. The instance is resolved using the full expression such that information about the full expression is available at a location of the instance.

Disambiguation of dependent referring expression in natural language processing

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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Round Rock, TX, United States of America

Edward Eugene Seabolt