Abstract: A selected data chunk associated with an object is determined to be sent to a destination. A chunk compression grouping storing the selected data chunk associated with the object is identified. The identified chunk compression grouping includes a plurality of data chunks compressed together. A data content version that includes the selected data chunk associated with the object to be provided to the destination is determined from a plurality of data content versions based at least in part on a metric associated with the identified chunk compression grouping.

Abstract: A predictive model can be applied to data representing a history of events for an entity to compute a value indicative of an outcome related to a reference time for that entity. The effect of an event from an entity's history of events on an outcome for the entity at a reference time can vary based on the type of event and relative time of that event with respect to the reference time. The effect of an event from an entity's history of events on an outcome for the entity also can vary due to other characteristics of the entity in combination with the event. These effects are captured as weights. For an entity, functions of sets of events from the history of events are computed for the entity and a set of weights for events. The computed results are inputs to the predictive model.

Abstract: Some techniques described herein relate to generating a hierarchical topic model (HTM), which can be used to generate custom content. In one example, a method includes determining first-level topics in a topic hierarchy related to a corpus of documents. A first-level topic of the first-level topics includes multiple words. The multiple words are grouped into clusters based on word embeddings of the multiple words. The multiple words are then subdivided into second-level topics as subtopics of the first-level topic, such that the number of second-level topics equals the number of clusters. A document of the corpus of documents is assigned to the first-level topic and to a second-level topic of the second-level topics, and an indication is received of access by a user to the document. Custom content is generated for the user based on one or more other documents assigned to the first-level topic and the second-level topic.

Abstract: A method for storing data includes: generating data for current data based on historical data and a change rule of the historical data; obtaining a delta between the data and the current data; storing the delta instead of the current data.

Abstract: An analysis device includes processing circuitry configured to perform parsing on a first character string based on a grammar described in a PEG in which a variable is associated with a predetermined terminal symbol, add, to the variable, an element in which a predetermined attribute is imparted to a part of the first character string, the part being a second character string analyzed as corresponding to the terminal symbol, extract an element that is latest from elements of each predetermined attribute from the variable, and determine whether the element extracted satisfies a predetermined condition regarding a context.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for a web-based process to generate electronic checklists and deploy electronic checklists. One method may include: receiving bulk data from a user device; parsing the bulk data to form a loadable database for an electronic procedure system of a vehicle; generating a rendering of an electronic checklist of one or more electronic checklists based on the loadable database; transmitting a first message to the user device, the first message including the rendering of the electronic checklist; iteratively performing an authoring process using a web-based tool to update the loadable database; receiving a second message from the user device, the second message including an instruction to transmit the updated loadable database to the electronic procedure system of the vehicle; and transmitting a third message to the vehicle, the third message including the updated loadable database.

Abstract: Methods and systems are provided for data synchronization. In one example, a method for synchronizing data between an agent and a core includes sending, from the agent, a request to the core identifying a data subset to be synchronized, the request further including a fingerprint for each block of data in the data subset; receiving, at the agent, a response from the core identifying a block of mismatched data between the core and the agent; fetching a fingerprint for each record of the identified block of mismatched data and creating a fingerprint of the block based on the fetched fingerprints; sending, from the agent, a request to the core including the fingerprint of the block; and receiving, at the agent, one or more records from the core identified via a comparison of fingerprints of the one or more records.

Abstract: Logic may provide a hierarchical label structure for a document with a predicted set of hierarchical labels. Logic may provide a historical label performance database comprising performance data associated with each assignee in a complete set of assignees for each label in a complete set of the hierarchical labels. Logic may generate a first vector for the hierarchical label structure for the document. Logic may generate a second vector for the assignees in an identified set of assignees, comprising each hierarchical label in the predicted set of hierarchical labels for the document, the identified set comprising one or more of the assignees in the complete set of assignees. Logic may perform a similarity search to identify a predicted assignee from the identified set of assignees and logic may predict a selected assignee of the identified set of assignees to associate with the document via the similarity search.

Abstract: Systems of the present disclosure may ingest content from a plurality of data sources with the content including ingested documents referencing entities and events relevant to the ESG signals. The content may be stored in a content database. The System may also identify metadata and a body of text associated with each document to produce a set of preprocessed documents. An entity may be tagged to a first preprocessed document from the set of preprocessed documents, and the document may include a first document identifier. The System may generate an event score related to a first ESG signal including a direction and a magnitude associated with an event identified in the body of text. The event score may be tagged to the document. The system may write to an unstructured data set the document identifier in association with the tagged entity and the tagged event score for delivery.

Abstract: Examples described herein generally relate to database systems for storing and processing both small values that are smaller than size of a database column and large objects that exceed the size of the database column. A database management system (DBMS) determines that a value to be stored in a database is a large object having a size larger than a column of the database. The DBMS stores the value as a large object in an external storage associated with a token stored in the column of the database. The token includes information for processing the large object. A vector processing engine associated with the external storage processes the large object based on the information in the token in response to a database command from the DBMS on multiple records represented as a vector.

Abstract: Provided is a keyword management method of an electronic apparatus. The keyword management method may include confirming a landing page type corresponding to a keyword associated with a search service of another apparatus, checking whether the keyword corresponds to a keyword set, changing the landing page type corresponding to the keyword when the keyword corresponds to the keyword set and the confirmed landing page type is not a landing page type related to the keyword set, and providing information on the changed landing page type to the other apparatus.

Abstract: Systems and methods are provided for generating hypermedia-based graphical user interfaces for display on a mobile device. In one embodiment, the systems and methods may include at least one processor in communication with a mobile device associated with a user. When executed, instructions may configure the a processor to transmit a request to access information corresponding to a relative of the user; display within the graphical user interface of the portable user device a hypermedia icon including an image of the relative; display at least one hypermedia element corresponding to a current status of the relative with respect to the itinerary of the relative; display at least one action hypermedia element representing actions that can be executed by the user; and display a recommendation for the user based upon a remaining duration of the procedure identified from the current status of the relative with respect to the itinerary.

Abstract: Techniques are disclosed for providing backup protection. A first subnet is established for replication in a first cluster that includes a plurality of host devices. Each of the host devices includes a respective controller virtual machine, which together form a virtual local area network for replication. Each of the controller virtual machines is assigned an Ethernet interface. A replication Internet Protocol address is assigned to each of the Ethernet interfaces of the controller virtual machines. Route tables and firewall rules of the controller virtual machines are modified to allow communications between nodes of the first subnet. The first subnet is configured with information related to a second subnet for replication in a second cluster. A dedicated communication channel is generated for replication between the first cluster and the second cluster based on the configuring.

Abstract: Provided herein are systems, methods and computer readable media for classification and tagging of textual data. An example method may include accessing a corpus comprising a plurality of documents, each document having one or more labels indicative of services offered by a merchant, generating a query based on extracted features and the documents, generating a precision score for at least a portion of the generated query and selecting a subset of the generated queries based on an assigned precision score satisfying a precision score threshold, the selected subset of the generated queries configured to provide an indication of one or more labels to be applied to machine readable text. A second example method, utilized for tagging machine readable text with unknown labels, may include assigning a label to textual portions of the machine readable text based on results of the application of the queries.

Abstract: A command is received by a data protection agent to conduct a file system-consistent backup of a virtual machine (VM) having a copy service. A first request is issued to the copy service indicating that all files of the VM are to be backed up and that archive attributes of all the files should remain unchanged. A second request is issued to a snapshot data mover for a snapshot of the VM. The snapshot request is passed to a virtual machine manager. Upon the snapshot data mover receiving an identifier identifying the snapshot from the virtual machine manager, the snapshot identifier is passed to the data protection agent, thereby allowing the agent to locate the snapshot and conduct the backup.

Abstract: In assistance processing for assisting in describing a document corresponding to a portion in a document, a calculation unit calculates a similarity degree between a sentence in a document and a document described correspondingly to a portion in the document. When the calculated similarity degree is equal to or greater than a predetermined threshold, an extraction unit extracts the sentence in the document in association with the document described correspondingly to the portion in the document.

Abstract: Methods and systems are described herein for generating structured classification data of a website. A computing device captures a plurality of webpages from a website. The computing device extracts data from each of the plurality of webpages based upon a plurality of features. The computing device generates a plurality of classes for each of the plurality of webpages by using a plurality of classifiers. The computing device assigns a consensus class to each webpage based upon the plurality of classes for the plurality of webpages.

Abstract: Disclosed herein is a software tool that may be used to create and navigate through visualizations of an organization's data as embodied in a digital duplicate. These “smart interactions” may allow a user to visually and intuitively traverse the semantic network to dynamically provide on-demand visualization of the business data. Based on the traversal of the network, the network can be simplified and/or subnetworks can be created. As part of the visualization, “perspectives” can be created based on focal points (i.e., nodes) in the network. The focal points may be used as a starting point for the traversal, and functions (e.g., aggregates) can be dynamically applied to produce subnetworks to provide data for visualizations.

Abstract: A system and method provide a trained model that uses vectorized word embeddings that are averaged or summed to form representations for sentences and phrases. The representations are processed in a Siamese neural network including multiple LSTM stages to find semantically related matches in catalogs for non-catalog queries. The model is trained using catalog data and randomized data using a contrastive loss function to generate similarity metrics for catalog-non-catalog pairs.

Abstract: An apparatus, a method and a non-transitory computer readable medium are described herein related to extracting SAP archive data on a non-original system. In this way a user may extract business data from any ADK-format archive file in isolation, independent of the original system and without any accompanying metadata. A cloud-based on-demand distributed architecture with a plurality of virtualized SAP Netweaver Application Servers ABAP may speed up the extraction process from ADK-format files by an arbitrary order of magnitude.