Abstract: According to one embodiment, a method, computer system, and computer program product for tagging and sharing limited views of content. The embodiment may include identifying one or more roles corresponding to one or more users. The embodiment may also include determining a set of tags corresponding to sections of a document. The embodiment may further include associating tags from the set of tags with associated roles from the one or more roles. The embodiment may also include filtering a view of the document for a user from the one or more users according to the tags from the set of tags, the associated roles, and a set of roles corresponding to the user. The embodiment may further include presenting the view of the document to the user.

Abstract: An example operation may include one or more of acquiring, by an organization node, a user profile from a blockchain, determining, by the organization node, a role of the user based on the user profile, detecting, by the organization node, user actions directed to graph expansions, and executing, by the organization node, a smart contract to analyze user behavior based on the detected user actions and the role to produce role-based user behavior parameters.

Abstract: An example operation may include one or more of authenticating a user, by a first system node, based on a first set of user credentials, computing, by the first system node, a second set of user credentials for a second system node, determining, by the first system node, if the second system node has a user with the second set of the user credentials, and responsive to the second system node not having the user with second set of the user credentials, deleting, by the first system node, an existing user of the second system node.

Abstract: An example operation may include one or more of authenticating a user, by a first system node, based on a first set of user credentials, computing, by the first system node, a second set of user credentials for a second system node, testing the second system node, by the first system node, to determine if the second system node has a user with the second set of the user credentials, and responsive to the second system node not having the user with the second set of the user credentials, creating a user with the second set of the user credentials.

Abstract: An example operation may include one or more of registering a first service node and a second service node for accessing a common data store, providing to the second client node, by the first client node, a data access request token key and a data access receipt key corresponding to a data access request, responsive to a receipt of the access request token key and the data access receipt key by the second service, retrieving a result from the common data store; and providing the result to the second client node.

Abstract: An example operation may include one or more of authenticating, by a first service node, to a first client node, receiving, by the first service node, a data access request from the first client node, comprising request parameters and a request token, generating, by the first service node, a receipt key corresponding to the data access request, and sharing data with a second client node based on the request token and the receipt key.

Abstract: An example operation may include one or more of authenticating a user, by a first system node, based on a first set of user credentials, computing, by the first system node, a second set of user credentials for a second system node, testing the second system node, by the first system node, to determine if the second system node has a user with the second set of the user credentials, and responsive to the second system node not having the user with the second set of the user credentials, creating a user with the second set of the user credentials.

Abstract: An example operation may include one or more of authenticating a user, by a first system node, based on a first set of user credentials, computing, by the first system node, a second set of user credentials for a second system node, determining, by the first system node, if the second system node has a user with the second set of the user credentials, and responsive to the second system node not having the user with second set of the user credentials, deleting, by the first system node, an existing user of the second system node.

Abstract: An example operation may include one or more of acquiring, by an organization node, a user profile from a blockchain, determining, by the organization node, a role of the user based on the user profile, detecting, by the organization node, user actions directed to graph expansions, and executing, by the organization node, a smart contract to analyze user behavior based on the detected user actions and the role to produce role-based user behavior parameters.

Abstract: An example operation may include one or more of generating, by an organization node, an item traceability graph comprising a plurality of expandable nodes, and executing, by the organization node, a smart contract to: acquire user role-based behavior results from the blockchain, and adjust expandability settings of the plurality of the expandable nodes based on the user role-based behavior results.

Abstract: An example operation may include one or more of registering, by a data sharing node, a first service node and a second service node for accessing a common data store, causing, by the data sharing node, a first client node associated with the first service node to provide a data access request token key and a receipt key to a second client node associated with the second service node based on a data access request received from the second client node, assigning, by the data sharing node, weights to the data access request token key and to the receipt key, and causing, by the data sharing node, the second service node to retrieve a result from the data source based on the assigned weights.

Abstract: An example operation may include one or more of registering, by a data sharing node, a first service node and a second service node for accessing a common data store, causing, by the data sharing node, a first client node associated with the first service node to provide a data access request token key and a receipt key to a second client node associated with the second service node based on a data access request received from the second client node, assigning, by the data sharing node, weights to the data access request token key and to the receipt key, and causing, by the data sharing node, the second service node to retrieve a result from the data source based on the assigned weights.

Abstract: An example operation may include one or more of registering a first service node and a second service node for accessing a common data store, providing to the second client node, by the first client node, a data access request token key and a data access receipt key corresponding to a data access request, responsive to a receipt of the access request token key and the data access receipt key by the second service, retrieving a result from the common data store; and providing the result to the second client node.

Abstract: An example operation may include one or more of authenticating, by a first service node, to a first client node, receiving, by the first service node, a data access request from the first client node, comprising request parameters and a request token, generating, by the first service node, a receipt key corresponding to the data access request, and sharing data with a second client node based on the request token and the receipt key.

Abstract: A display adaption method, system, and computer program product include determining an obscured area of an interface of a screen that is obscured by a user, learning a pattern of the obscured area of the screen that is obscured over a time frame, and adapting the interface of the screen to change the interface of the screen to change an interference by the user with the interface of the screen such that the obscured area is reduced.

Abstract: A similarity determination method, system, and computer program product, including using a description of companies for making a list of query entities, calculating a set of similar companies for each company on the list of query entities, employing a voting scheme to rank the results of the calculating, ordering a final set of the results based on the voting scheme and presenting them back to the user as a first ranked list, iteratively repeating the calculating by adding a second set of new companies and recalculating a second ranked list of recommended companies based on the updated query list, combining the first ranked list and the second ranked into a single set of companies of a combined list while remembering which of the first ranked list and the second ranked list from which each company originated, and visualizing the combined list based on which original list the companies came from. The technique can be extended to an arbitrary number of lists.

Abstract: A display adaption method, system, and computer program product include determining an obscured area of an interface of a screen that is obscured by a user, learning a pattern of the obscured area of the screen that is obscured over a time frame, and adapting the interface of the screen to change the interface of the screen to change an interference by the user with the interface of the screen such that the obscured area is reduced.

Abstract: Provided is a computer-implemented method for automatically preserving privacy in a user interface. The method includes detecting privacy objects that are being presented via a UI of a computing device to a first user. A security status of the UI is evaluated based at least in part on analyzing audio captured by an audio capture device of the computing device. A privacy mode of the UI that executes privacy actions that are associated with the detected privacy objects is activated based on determining that the security status is in an unsecure state. The privacy mode is deactivated based on determining that the security status has changed from the unsecure state to a secure state, in which determining that the security status has changed from unsecure to secure is based on analyzing the audio captured by the audio capture device of the computing device.

Abstract: A system, method and program product for analyzing long term risk. A system is disclosed that includes a risk system for analyzing long-term risks, including: a risk knowledgebase that includes risk information associated with at least one domain; a risk model builder that builds a representation of a risk model based on inputs from a user interface and the risk knowledgebase, wherein the risk model includes risk factor nodes, risk event nodes and impact nodes; and a risk simulation engine that processes the representation and computes predicted outcomes.

Abstract: Provided is a computer-implemented method for automatically preserving privacy in a user interface. The method includes detecting privacy objects that are being presented via a UI of a computing device to a first user. A security status of the UI is evaluated based at least in part on analyzing audio captured by an audio capture device of the computing device. A privacy mode of the UI that executes privacy actions that are associated with the detected privacy objects is activated based on determining that the security status is in an unsecure state. The privacy mode is deactivated based on determining that the security status has changed from the unsecure state to a secure state, in which determining that the security status has changed from unsecure to secure is based on analyzing the audio captured by the audio capture device of the computing device.