Examples described herein generally relate to a computer system for generating a knowledge graph storing a plurality of entities and to displaying a topic page for an entity in the knowledge graph. The computer system performs a mining of source documents within an enterprise intranet to determine a plurality of entity names. The computer system generates an entity record within the knowledge graph for a mined entity name based on an entity schema and the source documents. The entity record includes attributes aggregated from the source documents. The computer system receives a curation action on the entity record from a first user. The computer system updates the entity record based on the curation action. The computer system displays an entity page including at least a portion of the attributes to a second user based on permissions of the second user to view the source documents.

A narrative includes a number of serially connected narrative segments combined by a director or editor in a defined sequence to tell a story. A number of different narrative segments are available to the director or editor. A content delivery editor provides editors and directors with the ability to augment a narrative with additional narrative segments that provide alternate perspectives, views, or insights to the consumer. Such allows conveyance of the same narrative to the consumer using a number of plots or perspectives. Branch points in the narrative provide the consumer the opportunity to follow a storyline they find interesting. Each consumer follows a “personalized” path through the narrative. The director or editor may influence selection at branch points by providing priming stimuli prior to presentation of a prompt to select a branch and by optionally providing target stimuli during presentation of the prompt to select a branch.

In some examples, a system receives function descriptors for different types of functions to be used when processing database queries, each function descriptor of the function descriptors comprising information relating to a respective function of the different types of functions. The system computes, based on a first function descriptor for a first function of the different types of functions, an estimate of a runtime metric associated with execution of the first function for processing a database query.

Establishing event-specific trust through data-centric mediation by: generating a mediated covenant of association as an instance of trust among a plurality of entities at an association layer of a multi-layer computer security system; constructing a security model enforceable by the multi-layer computer security system that expresses node-node semantic relationships as links among nodes of the model representing protectable computing resources; and producing an event-specific security model via informatic convolution of elements of the covenant with elements of the security model, so that the event-specific security model is operable to constrain a computing action among computing resources represented by the plurality of entities.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for executing software on distributed computing systems. In one aspect, a method comprises executing a workflow controller configured to manage a plurality of factory workflows; executing a plurality of extraction workers, each configured to extract data from a plurality of external data sources into plurality of extracted datasets; executing a plurality of intermediate workers, each configured to integrate and/or contextualize the extracted data sets into a plurality of intermediate datasets; and executing a plurality of visualization workers, each configured to use the intermediate datasets to produce an interactive display or a plurality of reports based on the intermediate datasets.

The present disclosure provides a database-based management method, platform, electronic device and storage medium, which relates to the technical field of databases and may be used for a cloud computing scenario. A specific implementation solution is as follows: monitoring a plurality of nodes through which an application accesses a corresponding database cluster based on pre-built management information of the corresponding database cluster of the application; when an abnormal node appears in the plurality of nodes, sending a node creation request carrying information of the abnormal node to a task management platform, to create an alternative node with the same function to replace the abnormal node; receiving information of the created alternative node returned from the task management platform; updating the management information of the database cluster of the application based on the information of the alternative node and the information of the abnormal node. In the present disclosure, only one set of database management platform is needed no matter whether the architectures of database clusters corresponding to the applications are the same. The above solution can be used to manage all applications simultaneously and effectively improve the management efficiency of the databases.

An electronic device has a display and a circuitry. The circuitry is configured to obtain location information of a specific item of multiple items located in an environment, wherein the location information of the specific item is obtained based on a correlation between location tracking information of electronic devices moving in the environment and item list data representing items of the multiple items being purchased by users of the electronic devices for which the location tracking information has been provided; and display an indication of the location of the specific item on the display.

Systems and methods for embodiments of incremental training of machine learning model in artificial intelligence systems are disclosed. Specifically, embodiments of incremental training of machine learning models using drift detection models are disclosed, including embodiments that utilize drift detection models to determine drift based on identity graphs in artificial intelligence identity management systems.

Disclosed herein are systems and methods for performing a geospatial-function join using an implied interval join. In an embodiment, a database platform receives a query that includes a geospatial-function join, which applies a geospatial-function predicate to a first geography data object of a first relation and a second geography data object of a second relation. The database platform processes the first and second relations through an interval join that applies an interval-join predicate that is implied by the geospatial-function predicate. The database platform obtains query results at least in part by implementing a filter that applies the geospatial-function predicate to an output of the interval join, and outputs the query results.

Embodiments of the present disclosure generally relate to organizing textual responses, such as survey responses. More specifically, one or more embodiments of the present disclosure provide a reviewer with textual responses that are prioritized according to usefulness. As an example, one or more embodiments of the present disclosure provide a reviewer with a notability value that provides an indication of the usefulness and/or interestedness of a response in relation to other responses for a particular open or textual type question.