Abstract: A method, computer system, and a computer program product for data labeling is provided. The present invention may include receiving a plurality of labeled data points. The present invention may include identifying one or more of the plurality of labeled data points with conflicting labels. The present invention may include determining that at least one of the one or more identified labeled data points exceeds one or more conflict thresholds. The present invention may include presenting the at least one or more identified labeled data points exceeding one or more conflict thresholds to a user. The present invention may include receiving a conflict resolution from the user for the one or more identified labeled data points exceeding the one or more conflict thresholds.

Abstract: Embodiments are provided that related to a computer system, a computer program product, and a computer-implemented method for dynamically managing knowledge graphs and their corresponding datasets. Embodiments include identifying a neologism from a virtual environment, and leveraging a virtual environment exploration to resolve a meaning of the identified neologism. The resolved meaning of the neologism is applied to a dynamic expansion of a dataset and a corresponding knowledge graph.

Abstract: Crowdsourced solutions are provided that can prevent and/or reduce dissemination of selected digital content in a social media platform. In one embodiment, a system can include at least one memory device having computer-executable components stored therein, and at least one processor configured to execute the computer-executable components. Such computer-executable components can include a selection component that identifies multiple reviewer accounts using a selection criterion corresponding to a user account in the social media platform. The multiple reviewer accounts can evaluate presence of particular digital content in the social media platform directed to the user account. The computer-executable components also can include a routing component that can provide portions of digital content directed to the user account to respective reviewer accounts.

Abstract: A reminder method, system, and computer program product include collecting information and an activity of a user, determining an optimum time to send the reminder to the user based on the information and the activity of the user and an optimal platform to deliver the reminder to the user based on the information and the activity of the user.

Abstract: A cognitive request management method, system, and computer program product include scanning a stream of incoming messages among at least two users to identify a request sent to a first user, storing the identified request in a list of unfulfilled requests, identifying a response of the first user to the request by backtracking within a message thread of the stream of incoming messages and when the response to a request is detected, the request is moved from the user's unfulfilled request list to a list of fulfilled requests, and displaying the list of unfulfilled requests and the list of fulfilled requests.

Abstract: Crowdsourced solutions are provided that can prevent and/or reduce dissemination of selected digital content in a social media platform. In one embodiment, a system can include at least one memory device having computer-executable components stored therein, and at least one processor configured to execute the computer-executable components. Such computer-executable components can include a selection component that identifies multiple reviewer accounts using a selection criterion corresponding to a user account in the social media platform. The multiple reviewer accounts can evaluate presence of particular digital content in the social media platform directed to the user account. The computer-executable components also can include a routing component that can provide portions of digital content directed to the user account to respective reviewer accounts.

Abstract: A reminder method, system, and computer program product include collecting information and an activity of a user, determining an optimum time to send the reminder to the user based on the information and the activity of the user and an optimal platform to deliver the reminder to the user based on the information and the activity of the user.

Abstract: A reminder method, system, and computer program product include collecting information and an activity of a user, determining an optimum time to send the reminder to the user based on the information and the activity of the user and an optimal platform to deliver the reminder to the user based on the information and the activity of the user.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to context sensitive resource recommendations and provide a method, system and computer program product for activity sensitive context sensitive resource recommendations. In an embodiment of the invention, an activity-centric resource recommendation method can be provided. The method can include inferring an activity from a workspace in a graphical user interface, identifying resources from amongst a set of resources that are relevant to the inferred activity, and displaying the identified resources in the graphical user interface.

Abstract: A cognitive request management method, system, and computer program product include scanning a stream of incoming messages among at least two users to identify a request sent to a first user, storing the identified request in a list of unfulfilled requests, identifying a response of the first user to the request by backtracking within a message thread of the stream of incoming messages and when the response to a request is detected, the request is moved from the user's unfulfilled request list to a list of fulfilled requests, and displaying the list of unfulfilled requests and the list of fulfilled requests.

Abstract: A reminder method, system, and computer program product include collecting information and an activity of a user, determining an optimum time to send the reminder to the user based on the information and the activity of the user and an optimal platform to deliver the reminder to the user based on the information and the activity of the user.

Abstract: Embodiments are directed to an image processing station for associating a non-trusted data set with a trusted data set. The station includes a memory and a user interface configured to receive the trusted data set and the non-trusted data set. The station further includes a processor system communicatively coupled to the memory and the user interface. The processor system is configured to generate, based at least in part on processing the trusted data set and the non-trusted data set, a confidence value that represents a probability that at least a portion of the non-trusted data set identifies at least a portion of the trusted data set.

Abstract: Embodiments are directed to an image processing station for associating a non-trusted data set with a trusted data set. The station includes a memory and a user interface configured to receive the trusted data set and the non-trusted data set. The station further includes a processor system communicatively coupled to the memory and the user interface. The processor system is configured to generate, based at least in part on processing the trusted data set and the non-trusted data set, a confidence value that represents a probability that at least a portion of the non-trusted data set identifies at least a portion of the trusted data set.

Abstract: A gravity menu management method can be provided. The method can include determining a tilt edge of a pervasive device by a tilt sensor disposed in the pervasive device. The method also can include rendering a menu bar with different drop down menus in a GUI of the pervasive device at a portion of the GUI adjacent to the determined tilt edge. In an aspect of the embodiment, the method additionally can include determining an angle of inclination of the pervasive device by the tilt sensor and managing a number of menu items in the drop down menus of the menu according to the determined angle of inclination. For instance, managing a number of menu items in the drop down menus of the menu according to the determined angle of inclination, can include including a terse set of menu items in the drop down menus responsive to a shallow angle of inclination, and including a verbose set of menu items in the drop down menus responsive to a steep angle of inclination.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to social networking and provide a method, system and computer program product for site-wide recent action management in a social network. In an embodiment of the invention, a social networking data processing system can be provided. The system can include a social networking application executing in a host server and generating different page views for different users of the social networking application. The system also can include a data store of recent actions for different ones of the users. Finally the system can include a site-wide navigation element displayed in each of the page views for each of the users irrespective of the page view and whether or not the page view is a home page or profile page. In particular, the element can include user links to different profile pages for different users with recent actions.

Abstract: A method for identifying employees across external social media sites including generating a list of at least one external social media site to be compared with an enterprise directory, comparing a plurality of users in the at least one external social media site to at least one employee in the enterprise directory, and determining a match between the at least one employee in the enterprise directory and at least one user in the at least one external social media site.

Abstract: A method for identifying employees across external social media sites including generating a list of at least one external social media site to be compared with an enterprise directory, comparing a plurality of users in the at least one external social media site to at least one employee in the enterprise directory, and determining a match between the at least one employee in the enterprise directory and at least one user in the at least one external social media site.

Abstract: A method, system, and computer program product for identifying persons who may be interested in acquiring a new position by tracking changes in their resumes. The present invention provides an efficient method to both prevent employee attrition and to signal to potential future employers that the person may become available soon. In general, the invention works by crawling a resume source for resumes, determining the resume owner, associating owner contact information, and tracking changes made to the resumes. If a resume is changed within a certain time period above a certain threshold activity level, then the resume owner is identified as being interested in acquiring a new position. Multiple different resumes from multiple different resume sources can also be mapped to a single owner to provide an aggregate actual resume in which changes can be tracked and used to identify employees interested in acquiring a new position.

Abstract: Embodiments are directed to an image processing station for associating a non-trusted data set with a trusted data set. The station includes a memory and a user interface configured to receive the trusted data set and the non-trusted data set. The station further includes a processor system communicatively coupled to the memory and the user interface. The processor system is configured to generate, based at least in part on processing the trusted data set and the non-trusted data set, a confidence value that represents a probability that at least a portion of the non-trusted data set identifies at least a portion of the trusted data set.

Abstract: Embodiments are directed to an image processing station for associating a non-trusted data set with a trusted data set. The station includes a memory and a user interface configured to receive the trusted data set and the non-trusted data set. The station further includes a processor system communicatively coupled to the memory and the user interface. The processor system is configured to generate, based at least in part on processing the trusted data set and the non-trusted data set, a confidence value that represents a probability that at least a portion of the non-trusted data set identifies at least a portion of the trusted data set.