Abstract: A method, apparatus, computer system, and computer program product for receiving, by a computer system, a usage request to use a subset of the objects from a client data processing system, wherein the objects are stored in a data repository. Responsive to receiving the usage request, the method transfers, by the computer system, the subset of the objects to the client data processing system and responsive to transferring the subset of the objects to the client data processing system, generating, by the computer system, an object transfer record, wherein the object transfer record describes the subset of the objects sent to the client data processing system. The method manages a utilization of the subset of the objects on the client data processing system utilizing the object transfer record.

Abstract: An indication of a geographic area is received. Respective metrics of noteworthiness are obtained for multiple entities located in the geographic area. Using a machine-readable knowledge repository that describes semantic relations between the entities, several of the entities are selected in view of the corresponding metrics of noteworthiness, so that the selected entities share a set of attributes defining a commonality, and so that digital imagery is available for each of the selected entities. This commonality is not specified by the user. A geographic imagery tour that includes a representation of the respective digital imagery for the selected entities is generated.

Abstract: A method for storing and updating data relating to a first dynamic Knowledge Organization System, and for storing and updating the mapping of its concepts to the concepts of a second Knowledge Organization System. The methods enables a reduction the computational burden involved in updating the mapping if Knowledge represented in the first KOS evolves, while at the same time ensuring a high level of accuracy of the mapping between both KOSs. This allows for more efficient use of the knowledge represented on aggregate by multiple KOSs, for example in the context of automated systems or artificial intelligence agents.

Abstract: An aggregated performance reporting system includes a computing system in communication with a database that stores element records associated with the elements of a distributed computing environment. The computing system stores instructions that are executed to receive a search term from a user interface, and identify a count of each element type that matches the search term. The instructions then identify one or more aggregated performance indicators that are associated with each element type, issue a request to the database to retrieve those element records having the identified element types, calculate the aggregated performance indicators using parametric information included in the retrieved element records, and facilitate the display of the calculated aggregated performance indicators on a display.

Abstract: A computerized method, system for, and computer-readable medium operable to: retrieve program details data about at least one media program. Retrieve social media posts involving the at least one media program. Match the retrieved program details data with the retrieved social media posts to find matching locations. Store time offset data corresponding to the matched locations within the at least one media program into at least one micropost. Rank the at least one media program by the number of microposts corresponding to the at least one media program. Present the at least one media program, each of the at least one media program with at least one micropost, wherein the at least one micropost comprises a link to the original social media page hosting the social media post and a video deeplink that plays a time off-set video, the time off-set video starting from the stored time offset data.

Abstract: Unsupervised or supervised machine learning (“ML”) techniques discussed herein can be used to classify browsers as one or more types of browser or within one or more browser groups.

Abstract: Embodiments regard maintaining data consistency between transactional and non-transactional data stores. Embodiments may include receiving a request to archive a set of data stored in a first data store, recording a high water mark in the first data store for the set of data, and archiving the set of data. Archiving the set of data may include copying the set of data into a second data store and inserting a high water mark for the set of data in the first data store and the second data store. Embodiments may further include updating a reference high water mark upon successful completion of operations for the archiving of the data, the reference high water mark representing completion of a last successful archive operation, and, upon receiving a query for requested data contained in the first or second data store, determining whether to allow viewing of the requested data based at least in part on a current value of the reference high water mark.

Abstract: A cohort service is configured to address the technical problem of providing recommendations to a member of an online connection network system in a manner that alleviates potentially excessive cognitive load associated with presenting recommended entities indiscriminately as a scrollable list. The cohort service is configured to visually surface recommended relevant entities already grouped as cohorts. A cohort is a grouping of entities based on one or more common attributes, such as, e.g., same school, same company, etc. The cohort service is designed to group recommendation results into cohorts at the server side, which increases the liquidity and the relevance of the recommended entities so that the already grouped recommendations can be sent to the client computer system for presentation to a viewer.

Abstract: Systems and methods for content management are disclosed. A content management system may include a data sourcing and data streaming engine configured to aggregate content data from data sources, a trend detection and monitoring engine configured to match data sources with content management metadata and to provide relevance scoring of the content data, and a trend recommendation and visualization engine configured to present to a user (e.g., content reviewer or subject matter expert), through a graphical user interface, an output comprising a relevance score and relevant trend, topic, and/or data source information, and to receive from the user through the graphical user interface input and/or activity. The data sourcing and data streaming engine, the trend detection and monitoring engine, and/or the trend recommendation and visualization engine may be updated with the input and/or activity for processing subsequent content data.

Abstract: A method, system, and computer program product for graph-based searching for one or more data streams is disclosed. A computer-implemented method comprises extracting a plurality of tuples from one or more data streams. The method further comprises generating a graph for the plurality of tuples in which a node represents a tuple of the plurality of tuples and an edge represents a correlation between the node and another node, and the edge is generated based at least partly on one or more predetermined queries for the one or more data streams. The method further comprises traversing the graph based on the one or more predetermined queries. Accordingly, embodiments of the present disclosure can improve the search speed by use of the graph-based searching for one or more data streams.

Abstract: Techniques related to a domain-specific language for transformations are disclosed. A server computer may process a table definition composed in a domain-specific language. The table definition may include a sequence of one or more transformations to be performed on one or more source tables to generate a target table. The sequence may include a customized transformation. A source dataset may be provided as input to an implementation of the customized transformation. An output dataset may be generated as a result of executing the implementation. An intermediate table may be generated based on performing at least one transformation on a particular source table. A supplemental portion for the intermediate table may be generated based on performing the at least one transformation on an appended portion of the particular source table. The target table may be generated based on combining the supplemental portion with the intermediate table.

Abstract: Systems and methods for intelligently pre-fetching data for input controls are disclosed. In particular, the disclosed systems and methods predict whether an input control is likely to be edited and only pre-fetches data for the input controls that have a high likelihood of being edited. This way, the presently disclosed systems and methods not only reduce latency in displaying recommended data results for input controls that are likely to be edited but also reduces the number of calls made to the backend server to retrieve the data as the data is not retrieved for all rendered input controls, but only the ones that are likely to be edited.

Abstract: Method, device, and system for peer-to-peer data replication are provided. The method includes: generating a first commit redo record attached with a CSN when a first write operation happens on a first physical entity in a master node, wherein the master node is preset with the first physical entity and a second physical entity and is connected to a first subscriber node and a second subscriber node; pushing, the first commit redo record to a first subscriber node corresponding to the first physical entity based on mapping relationships between the physical entities and the subscriber nodes, wherein the first commit redo record is used for replicating data of the first write operation from the master node to the first subscriber node, and then to the second subscriber node through pushing, by the first subscriber node, the received first commit redo record to the second subscriber node.

Abstract: The amount and variety of data being generated is becoming too extreme for many computing systems to process, and is even more difficult for information systems to provide relevant data to users. A distributed computing system is provided that includes server machines that form a data enablement platform. The platform includes: a plurality of data collectors that stream data over a message bus to a streaming analytics and machine learning engine; a data lake and a massive indexing repository for respectively storing and indexing data; a behavioral analytics and machine learning module; and multiple application programming interfaces (APIs) to interact with the data lake and the massive indexing repository, and to interact with multiple applications. The multiple applications are command cards, and each command card includes a directive module, a memory module, search bots, and behavior bots that operate at least within the data enablement platform.

Abstract: Disclosed are systems and methods preventing data loss of confidential data in a computer system. The described technique includes searching text data for one or more keywords, and then calculating a density of keywords in the text data based on the one or more keywords that match the text data. The technique classifies the text data as containing confidential data based on whether the density of keywords exceeds a threshold value. If so, the described systems may block the use of the text data containing confidential data in a variety of ways.

Abstract: A method for attracting users to a web page is disclosed. A list of keywords relevant to the web page is defined at an operator interface. Each keyword of the list of keywords is independently submitted to a search engine. A result page is received for each keyword. A plurality of information elements is extracted from each result page. A score is calculated for each keyword based on the plurality of information elements extracted from each result page. At least one most attractive keyword is selected from the list of keywords, the selection being based on at least one best score among the scores for the keywords of the list. The at least one most attractive keyword is output on the operator interface as a recommendation for updating the web page to include the at least one most attractive keyword. A server implementing the method is also disclosed.

Abstract: A computed-implemented method is provided for generating object storage datasets from file datasets. The computed-implemented method includes analyzing entries of a file system to identify a file and checking the file against at least one policy. In response to identifying a match between the file and the at least one policy, details of a container are updated. A symbolic link to the file is created to allow access of the file by an object-based client. Updating the details of the container includes updating a database such that the database identifies at least one of the created symbolic link and the details of the container.

Abstract: A method, computer program product, and a system where a processor(s), subject to obtaining permission, monitors browsing activity of an application browsing sources, including analyzing the sources to identify keywords and calculate densities of the keywords in content accessed at the sources. The processor(s) retains the keywords and the densities of the keywords in the content accessed at the sources in an historical record. The processor(s) downloads a resource of data and metadata from a source. The processor(s) updates the metadata of the resource based on keywords and densities of the keywords in the resource and source. The processor(s) determines a destination for the downloaded resource, based on selecting the destination comprising a highest percentage of attributes matching the updated metadata.

Abstract: Technologies are described for facilitating transaction processing within a database environment having a coordinator node, a first worker node, and at least a second worker node. The first worker node sends a request from to the coordinator node for at least a first synchronization token maintained by the coordinator node. The first worker node receives the at least a first synchronization token from the coordinator node. The first worker node assigns the at least a first synchronization token to a snapshot as a snapshot ID value. The snapshot is executed at the first worker node. The first worker node forwards the snapshot ID value to the at least a second worker node.

Abstract: Disclosed are methods and systems that help to visualize large groups of documents in a virtual reality or augmented reality environment comprising a three-dimensional (3D) space. An example method involves a computing device: determining a group of elements based at least in part on the one or more input parameters; determining one or more attributes based at least in part on the one or more parameters, the group of elements, or both; determining, for each element from the group, a respective location in a 3D space, based on one or more of the attributes; displaying a 3D graphical environment representing the 3D space, wherein each element from the group is represented in the 3D graphical environment by a graphic object at its respectively determined location in the 3D space; and enabling user interaction with the graphic objects in the 3D graphical environment.