Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving a set of keywords from a graphical user interface of an electronic device of a user; pre-processing at least one keyword of the set of keywords; receiving a hierarchical categorization; pre-processing at least one category of the hierarchical categorization; determining a respective similarity between each of the at least one keyword of the set of keywords and each of the at least one category of the hierarchical categorization; determining a respective confidence level of a most likely category in the hierarchical categorization for each of the at least one keyword of the set of keywords using the respective similarity between each of the at least one keyword of the set of keywords and each of the at least one category of the hierarchical categorization; ranking each of the at least one keyword of the set of k

Abstract: Various techniques are disclosed herein for storing and managing master data in hierarchical data systems. Several related concepts, embodiments, and examples are disclosed, including techniques for incremental rationalization in a hierarchical data model, techniques for implementing governance pools in a hierarchical data model, techniques for application materialization in a hierarchical data model, techniques for data intersection mastering in a hierarchical data model, techniques for change request visualization in a hierarchical data model, and techniques for hierarchy preparation in a hierarchical data model.

Abstract: Aspects described herein may provide modification of recommendations from a recommendation engine for a product or a device. The recommendation engine may provide initial search results for a particular type of device. The initial search results may be modified to ensure inclusion of devices that include features that the user considers important. Features that the user considers important may be determined based on observing the user's interaction with another device of the same type. By observing the user's interaction with the other device over a period of time, features that the user commonly uses and features that the user sparingly uses may be determined. The initial search results may then be modified to remove devices that do not include the features frequently used by the user and therefore considered important to the user.

Abstract: Systems and methods for ingesting and enhancing data in a distributed processing framework. The system includes at least a data ingestion system configured to access data or datasets from one or more data sources. The data is accessed via the data ingestion system and includes metadata defining a plurality of attributes. The attributes are identified in the metadata, via the data ingestion system, and may be applied to the data or dataset for enhancing the data or dataset. Application of the attributes to the data results in enhancements that may include joining the data, enriching the data, or other enhancements accomplished via manipulation of the data via the data ingestion system.

Abstract: A method for adapting a workflow of a content management system comprises setting an allowed action for a user, creating at least one information item depending on the allowed action for the user, in which the at least one information item comprises content to be published and a first information item status level indicative of a present status level of the content within the workflow, and executing the workflow which comprises stages each corresponding to a respective information item status level, such that a next stage of the workflow is determined based on a combination of different types of user status information, indicative of a status of the user, and the first information item status level.

Abstract: Various examples are directed to systems and methods optimizing database queries. A database management system may receive a first query comprising a plurality of query expressions. The database management system may determine that a first expression of the first query is nullable and that the first expression is null preserving. The database management system may generate optimized query code for the first query. The optimized query code may comprise a first code segment and a conditional jump instruction. The first code segment that, when executed by a processor, may cause the processor to perform operations comprising determining a value of the first expression. The conditional jump instruction may, when executed by the processor, cause the processor to perform operations comprising: skipping execution of at least a portion of the first code segment and returning null for the first expression.

Abstract: A method in a database system is disclosed. The method comprises generating a task template object from a platform entity with polymorphic lookup capability that can map to multiple tenant domains wherein the task template object contains one or more task completion storage records for storing task-specific information, converting the task template object into a work-type object by storing task-specific information in the one or more task completion storage records wherein the work-type object comprises a work-type object identifier (ID), a first record for recording the database ID of one or more work order objects mapped to the work-type object, and a first task completion storage record for storing a first type of task-specific information. The method further comprises generating a work order object for a task and providing the work order object with access to the task-specific information by linking the work-type object to the work order object.

Abstract: A method that is performed for backing up data. The method includes obtaining a backup request; and in response to the backup request: obtaining an asset and an asset entry from a file system metadata repository associated with the backup request; identifying asset components of the asset using the asset entry; assigning asset components to backup threads to be backed up as pseudo-assets based on the asset entry; executing the backup threads to generate pseudo-asset backups; storing the pseudo-asset backups on backup storages; and updating asset backup metadata based on the pseudo-asset backups.

Abstract: Methods and systems to adapt search results are described. The system receives search information that includes a constraint over a network. The system generates a first search result based on the search information. The system communicates a first user interface, over the network, to the client device. The first user interface is formatted based on first formatting level information. The system receives a first request, over the network, from the client device. The first request includes a description of a first interaction with the first search result. The system identifies a first formatting level based on at least one interaction that was received previous to receiving the first request. The system transitions to a second formatting level based on the first formatting level and the first interaction. The second formatting level is associated with second formatting level information.

Abstract: Various techniques are disclosed herein for storing and managing master data in hierarchical data systems. Several related concepts, embodiments, and examples are disclosed, including techniques for incremental rationalization in a hierarchical data model, techniques for implementing governance pools in a hierarchical data model, techniques for application materialization in a hierarchical data model, techniques for data intersection mastering in a hierarchical data model, techniques for change request visualization in a hierarchical data model, and techniques for hierarchy preparation in a hierarchical data model.

Abstract: A computing system includes a server. The server is communicatively coupled to a data repository and is configured to store a data in the data repository. The server is further configured to create, via a visual information flow creation tool, at least one information flow object. The server is additionally configured to create, via a retry handling policy system, a retry policy, wherein the retry policy comprises a retry condition and a retry strategy, and to enable the at least one information flow object to follow the retry strategy when the retry condition occurs.

Abstract: A method and/or system for managing a database that stores space-time context objects is provided. The system receives a query range in a multi-dimensional space. The system maps the query range into a set of fragments of a space-filling curve that fills the multi-dimensional space in all dimensions of the multi-dimensional space. The system uses each mapped fragment in the set of mapped fragments as a key to query the database for space-time context objects that are mapped to the space-filling curve. The system queries the database by identifying one or more context objects that intersect the mapped fragment at the space-filling curve.

Abstract: Activity tables for educational application programs are received. The activity tables list learning activities in the applications. Correlations of the learning activities to a set of education standards are received and an index based on the correlations is generated. A specification of an education standard a user is to satisfy is received. The index is scanned to identify which application programs have learning activities aligned to the specified education standard. User responses to the applications may be collected. Based on the user response and other usage data, the system may determine a user's level of achievement of the specified education standard.

Abstract: A method and system for replicating file system entities in a manner that preserves block-level access and file system efficiency mechanisms such as deduplication are disclosed. In an embodiment, a replication engine receives a stream of file system entities that include a file system inodes and file system data blocks. The replication engine generates object-based storage (OBS) objects based on data and reference information specified by the file system entities. As part of generating the OBS objects, the replication engine generates at least one inode file object that associates file block numbers of a file system inode file and the inode numbers. The replication engine uses inode information to generate reference objects that logically associate file block numbers with data block numbers in per inode manner. The replication engine further generates data objects that contains the file system data blocks and that associates the data blocks with corresponding data block numbers.

Abstract: Automatic processing of documents often generates results far different from those obtained by manual human processing. For a given document processing task, many different techniques can be tried but it is often not known which will best emulate manual, human processing. This application discloses data processing equipment and methods specially adapted for a specific application: analysis of the breadth of documents. The processing may include context-dependent pre-processing of documents and sub-portions of the documents. The sub-portions may be analyzed based on word count and commonality of words in the respective sub-portions. The equipment and methods disclosed herein improve upon other automated techniques to provide document processing by achieving a result that is quantitatively closer to manual, human processing.

Abstract: Systems and methods for providing a universal format driven data transformation. In conventional ETL operations, the transform process that transforms data from the source format to the destination format is based on a transformation program. Conventionally, transform logic is developed around the chosen transform program. In accordance with an embodiment, a universal, format-driven data transform can be achieved through the use of a data transformation format. In accordance with an embodiment, a method for providing a universal format driven data transformation can include providing a transformation format in a file, wherein the transformation format is in a human-readable form; and providing, in the transformation format, keywords defining a target table type, a dataset list, and dataset operations to be performed on a dataset from the dataset list.

Abstract: Methods, systems, and devices supporting epsilon (?)-closure for frequent pattern (FP) analysis are described. Some database systems may analyze data sets to determine FPs. In some cases, the FP set may include a large number of semi-redundant patterns, resulting in significant memory or processing overhead. To reduce the redundancy of these patterns, the database system may implement pre-configured or dynamic threshold occurrence differences (e.g., ? values) to test against related patterns. For example, the database system may calculate the difference between the data objects covered by a sub-pattern and a super-pattern (e.g., where the super-pattern includes all the same data attributes of the sub-pattern, plus one additional attribute). This difference may be compared to a corresponding ? value, and if the difference is less than the ? value, the database system may remove one of the patterns (e.g., the sub-pattern) from the set of valid FPs to limit redundancy.

Abstract: A system and a method are disclosed for using a client that is unsynchronized with a blockchain network to validate blockchain transactions for IoT devices, web apps, mobile apps, and other applications. The client retrieves a register of nodes (acting as information provider or validator) that are synchronized with the blockchain network, selects a node from the register, and transmits an information request to the selected node. The client receives a response to the request, the response including the requested information and validation indicia (e.g., proofs), and determines whether the response is valid based on the validation indicia. The client transmits, in response to determining that the response is valid, a confirmation to the IoT device, web app, mobile app or other applications.

Abstract: A first database system may receive an access request from a connector module associated with a client application. The access request may include one or more access credentials for accessing a database associated with the first database system. The connector module may transmit one or more access parameters to the first database system. A connection string may be dynamically identified based on the access parameters. The connection string may be transmitted to the connector module, and may be used to establish a connection between the client application and the second database system. The connector module may also provide fallback capability for establishing a connection with a standby database server when a primary database server is unavailable such that open transactions are halted during the transitioning of the connection and resumed thereafter without having to abort the transactions.

Abstract: A system enabling smart versioning of files is provided. Techniques disclosed herein enable a system to snap to new versions of a file based on one or more measures of user interactions with the file. For instance, a system can create a new version number for a file based on an amount of time a user has spent editing the file, a number of saves that have occurred, and/or a quantity of data applied to edits of the file. The techniques disclosed herein can also utilize telemetry data to fine tune weightings that are applied to data measuring specific types user activity to provide results that best serve a range of use scenarios and file types. By providing version numbers of a file that are based on user interactions, a system can provide more meaningful version numbers that are aligned with the contents of a file.