International Business Machines Corporation

Antonio Perrone

Scot MacLellan

Michele Crudele

Alessandro Donatelli

Bernardo Pastorelli

Rosario Gangemi

Andrea Di Palma

Antonio Mario Sgro

Gianluca Della Corte

Leonida Gianfagna

Paolo Salerno

Leonardo Rosati

Stefano Borghetti

Marco Mechelli

Luigi Pichetti

Fabio Cerri

Francesco Maria Carteri

Salvatore D'Alo

Giancarlo Carbone

Roberto Pecoraro

Roberto Longobardi

Antonio Romeo

Agostino Anfossi

Luca Loiodice

Sandro Piccinini

Stefano Sidoti

Giuseppe Ciano

Claudio Marinelli

Mauro Arcese

Tomasz Andrzej Stopa

Rossella De Gaetano

Fabio Barillari

Randa Salem

Giovanni Lanfranchi

Domenico D'Alterio

Salvatore D'Alo'

Wade C Allen

Marco Martino

Francesco Carusi

Brian Joseph Schlosser

Attilio Mattiocco

Salvo Aliffi

Cristiano Colantuono

Paolo Baratti

Rosalind Radcliffe

Paolo Deidda

Enrico Vannini

Angelina Ascone

Roberto Mulatti

Andrea Di Palmi

David Anthony Fresquez

PierMario Turaccio

Aurelia Ceccarelli

Anna Daniela Pellegrino

Federica Gari

In an approach to invention purpose, for controlling evacuation of a plurality of individuals carrying corresponding portable computing devices from a venue having a plurality of exits associated with corresponding exit computing devices, wherein the method comprises, under the control of the portable computing device of each of the individuals. One or more computer processors receive one or more of evacuation messages of wireless type each being transmitted by a source entity. The one or more computer processors select a selected evacuation message of the received evacuation messages according to the hop number of the received evacuation messages. The one or more computer processors subscribe to a directed exit being set to the origin exit of the selected evacuation message.

Collaborative control of evacuation of a venue

A mechanism is provided updating a knowledge base of a sentiment analysis system, the knowledge base being operable for storing natural language terms and a score value related to each natural language term, the score value characterizing the sentiment of the natural language term. Messages comprising natural language are received. Using content of the knowledge base, a decision is made as to whether at least one message of the received messages has a positive sentiment or a negative sentiment. A term is extracted from the message that is not present in the knowledge base. Based on a frequency of occurrence of the term in the received messages and the sentiment of the messages in which the term occurs, a score value of the term is calculated, and the term and the calculated score value are stored into the knowledge base.

Method for updating a knowledge base of a sentiment analysis system

Embodiments of the present disclosure describe selective discovery, management, and deletion of personal data. The method accesses a set of data on a networked resource. The data is formed of a plurality of data elements which are arranged in at least one data table. The method identifies one or more sensitive data elements within the set of data related to one or more individuals. The method determines a sensitivity level of the one or more sensitive data elements and generates a catalogue including at least one new data element representative of the one or more sensitive data elements and based on the sensitivity level of the one or more sensitive data elements. The method tags the one or more sensitive data elements within the catalogue based on the sensitivity level of the one or more sensitive data elements corresponding to the new data element.

Automated discovery and management of personal data

A solution is proposed for monitoring usage of bundles in the OSGi environment. For this purpose, an event notification interface of the OSGi environment is exploited. Particularly, each event relating to a change of state of a bundle (such as its addition, removal, starting and stopping) is detected by an auxiliary bundle&#x2014;which previously subscribed to the event notification interface. The auxiliary bundle can then forward the detected events to a licensing agent, which identifies the bundle by means of a software catalogue. In this way, the desired result is achieved without requiring any instrumentation of the bundles to be monitored.

Monitoring components in a service framework

A solution is proposed for ranking a plurality of documents in a computing system, each of the documents comprising a plurality of document terms. A corresponding method comprises receiving a query comprising one or more query terms for selecting the documents, calculating corresponding similarity indexes between the query and the documents, each of the similarity indexes being calculated according to a comparison between the query terms and the document terms of the corresponding document, determining corresponding semantic richness indicators of the documents, adjusting the similarity indexes according to the corresponding semantic richness indicators, and ranking at least part of the documents for selection thereof according to the corresponding similarity indexes being adjusted.

Ranking of documents based on their semantic richness

An image captured at a first moment in time is received. A user is identified by comparing at least one facial feature extracted from the image with user information stored in a database. It is determined whether the user observed a visual display by determining whether the visual display was within the visual field of the user. Upon determining that the user observed the visual display, the image is processed with a sentiment analysis module to determine a sentiment of the user. Further, it is determined, based on a record stored in a transaction database, that the user purchased the first product at a second moment in time, and an engagement index is generated for the visual display based on processing the determined sentiment of the user and a period of elapsed time between the second moment in time and the first moment in time.

Cognitive analysis of user engagement with visual displays

A solution is proposed for managing a plurality of computing machines. A corresponding method comprises causing each computing machine of at least part of the computing machines to execute a management activity on the computing machine; receiving a corresponding result of the execution of the management activity on each computing machine; determining a success fingerprint according to one or more characteristics of each of at least part of one or more wherein the corresponding result is indicative of a success of the execution of the management activity thereon; calculating a similarity index for each of one or more failure ones of the computing machines wherein the corresponding result is indicative of a failure of the execution of the management activity thereon; and prioritizing the computing machines which failed to accept a policy according to the corresponding similarity indexes.

Management of computing machines with troubleshooting prioritization

A computer-implemented method for training a natural language classifier associated with a chat interface of a computer system is provided. The method may include receiving a training dataset comprising an initial set of expressions corresponding to an intent. Additional expressions corresponding to the intent may be generated, wherein the additional expressions are generated based on the initial set of expressions corresponding to the intent. The natural language classifier may be trained based on the initial set of expressions and the additional expressions corresponding to the intent. The trained natural language classifier may be implemented to determine an intent expressed by a detected query based on the initial set of expressions and the additional expressions by which the natural language classifier was trained.

Training data expansion for natural language classification

A mechanism is provided for updating a knowledge base of a spam detection system for email messages. A first and a second email set of email messages related to a time window are created. The first email set comprises email messages currently classified as spam messages, the second email set email messages currently classified as non-spam messages. A natural language term that is not present in the knowledge base is extracted from one of the email messages contained in one of the two email sets. Based on a frequency of occurrence of the extracted term in email messages contained in one or more of the two email sets and based on whether the respective email messages are spam messages or non-spam messages, a score value of the extracted term is calculated. The extracted term and the calculated score value are stored into the knowledge base.

Updating a knowledge base of a spam detection system

A mechanism is provided for managing a plurality of computing machines. An indication of a management activity having an applicability rule is deployed to a plurality of computing machines to cause each of the plurality of computing machines having corresponding values of one or more characteristics fulfilling the applicability rule to apply the management activity. Results are received indicating that the management activity has been applied successfully on corresponding success computing machines and that the management activity has not been applied on corresponding excluded computing machines. One or more candidate computing machines of the excluded computing machines is selected according to a comparison of the corresponding values of the further characteristics of the excluded computing machines with a success fingerprint. An indication of rule transformations and corresponding frequencies for use in transforming the applicability rule accordingly to a number of the candidate computing machines is then provided.

Refining of applicability rules of management activities according to missing fulfilments thereof

Enhancement of a first mind map to become a second enhanced mind includes: providing a content pool with information items; performing a first semantic scan based on a selected object; and generating a new object and a related connection to the selected object based on the semantic scan. Furthermore, the enhancement includes determining a strength value for each of the connections of the first mind map and determining the connection with the lowest strength value and recalculating the strength value using an external knowledge base to define the connection as obsolete if the strength value decreases.

Method for enhancing a mind map with different streams of information

In one embodiment, a system for license management includes logic adapted for arranging entitlement slots under a plurality of licenses, each entitlement slot being configured for affording entitlement to use of an instance of a software application during a particular time frame, logic adapted for determining a license use signature from recorded license attribution information, logic adapted for receiving a notification of an instance not attributed to a license, and logic adapted for attributing the non-attributed instance to one of the plurality of licenses as a function of the license use signature, wherein each license has an entitlement value defining a maximum number of entitlement slots that may be attributed to that license during the time frame and any given instance of the software application may consume any number of the entitlement slots including zero entitlement slots.

Optimizing license use for software license attribution

Growing community of inventors

Rome, Italy

Antonio Perrone