Abstract: Systems and methods are disclosed for processing electronic content, such as text, videos, and images. According to certain embodiments, user interactions with electronic content may be tracked over a plurality of modalities, such as web pages, email, mobile applications, and social media. The tracked user interactions may include copy/paste events, explicit user highlighting, social sharing, and user voting. Key passages of electronic content may be identified based on the tracked user interactions and ranked against one another. Ranking of passages may be based, for example, on a raw or normalized score for the identified key passages. Alternatively, the ranking of a passage may be based on a ratio of user interactions with the passage to total views of the electronic text containing the passage. One or more of the identified key passages (e.g., the highest ranked passages) may be published to one or more applications.

Abstract: Embodiments of the present invention are directed to validating extraction rules. In embodiments, a set of events for which field extraction is desired is obtained. Thereafter, an extraction rule is applied to the set of events to extract fields of the events. The application of the extraction rule can be monitored to determine that the applied extraction rule is invalid. Based on the applied extraction rule being invalid, a new extraction rule can be generated to apply to the set of events.

Abstract: A system and a corresponding computer-implemented method identifies and classifies community-sourced documents as true documents. The community-sourced documents include one or more data objects such as data items, including text, strings, phrases, and words; image items, including still image items, video image items, and icons; and drawing items. The system and corresponding method then report the analysis results.

Abstract: A method, apparatus, and system for redistributing files in a multi-node storage system to improve global deduplication storage savings is disclosed. A plurality of file cluster candidates are generated for a plurality of files stored at a multi-node storage system comprising a plurality of data nodes. A similarity index is determined for each of the plurality of file cluster candidates based on similarity of the files comprised in the file cluster candidate. A ranked recipe list comprising a plurality of recipes is generated. Each recipe is associated with one of the plurality of file cluster candidates, comprises a destination data node for the associated file cluster candidate, and is associated with a deduplication space savings. At least some of the plurality of files are moved between the plurality of data nodes based on the recipes in the ranked recipe list to improve deduplication space savings in the multi-node storage system.

Abstract: A communication apparatus determines whether to delete a packet yet to be transmitted that is stored in a transmission queue from the transmission queue when new data to be transmitted to another communication apparatus is generated. In a case where the packet yet to be transmitted is determined to be deleted, the communication apparatus deletes the packet yet to be transmitted that is stored in the transmission queue while maintaining the communication connection with the another communication apparatus, and transmits a packet to be transmitted corresponding to the new data to the another apparatus.

Abstract: An item of content is received and it is analyzed to identify any different types of parsers that can be used to parse the item of content based on prior, user-selected parsers. One or more parsers is selected, based upon the content type in the item of content and based upon the prior, user-selected parsers. The selected parser is constructed in a server environment and is controlled to parse the item of content.

Abstract: The present disclosure describes a system, method, and computer program for automatically creating a parser for a log group. A parser-creation system groups logs that do not satisfy conditions for an existing parser, enables a user to select a log group for parser creation, and automatically creates a parser for the selected log group. In creating a parser, the system extracts values and keys value pairs from the log group and identifies the corresponding normalized output fields and regular expressions for the values and key-value pairs. To identify normalized fields corresponding to values and key-value pairs, the system compares the values and key-value pairs to one or more knowledgebases that include: (1) regular expressions from existing parsers, (2) regular expressions for value types associated with normalized fields, and (3) a list of keys in key-value pairs associated with normalized fields.

Abstract: A method for training a neural network model includes generating a training dataset with a plurality of data types and word samples belonging to each data type. A plurality of character strings stored in a plurality of data fields in a first data file are received where the plurality of character strings includes at least one word belonging to at least one data type in the plurality of data types. The at least one word from each of the plurality of character strings in each of the data fields are split and matched to the at least one data type using the neural network model. An ad hoc second data file with a plurality of data vectors is constructed based on a user selection of data field labels where each data vector includes words matched to a data type with a respective data field label.

Abstract: A data processing method includes receiving data from a plurality of sources, generating a knowledge graph, and identifying potentially ambiguous particular nodes. For each of the particular nodes a semantic neighborhood is constructed including the particular node and a plurality of nodes within a particular degree of separation from the particular node, the particular node is omitted from the semantic neighborhood, a plurality of groups of connected nodes are determined in the semantic neighborhood, a plurality of instances of the particular node are defined, a plurality of substitute nodes are generated based on the plurality of instances, and each of the plurality of groups of connected nodes are connected to one of the plurality of substitute nodes to update the knowledge graph. A query is received via a network. Query results are retrieved out of the updated knowledge graph, and the query results are rendered accessible.

Abstract: Embodiments described herein provide a privacy mechanism to protect user data when transmitting the data to a server that estimates a p-th frequency moment, Fp for p?[1, 2] and p low-rank approximation for p?[1, 2). The privacy mechanism uses an encode-shuffle then analyze (ESA) framework that provides a compromise between the central and local model of privacy.

Abstract: A method includes: receiving a script configured to modify the audio-video file; calculating a performance metric based on execution of the script on a set of test files; classifying the script as performant based on the performance metric; defining a metadata store associated with the script and the audio-video file; receiving a playback request specifying a rendition of the audio-video file from a computational device; in response to receiving the playback request: accessing a set of data inputs from the metadata store; executing the script on a frame of the audio-video file based on the set of data inputs to generate a modified frame of the audio-video file; transcoding the modified frame of the audio-video file into the rendition to generate an output frame of the audio-video file; and transmitting the output frame of the audio-video file to the computational device for playback at the computational device.

Abstract: A method for data storage includes assigning multiple different portions of a given object, which is stored in non-volatile storage, for access by multiple respective software modules running on one or more processors. Storage operations are performed by the software modules in the portions of the given object. Respective local values, which are indicative of most recent times the storage operations were performed in the given object by the respective software modules, are updated by the software modules. A global value is updated for the given object, by consolidating updates of the local values performed by the software modules.

Abstract: A filter request for a data set indicates a query specification and one or more sub-range indicators of a disjoint subset descriptor. Corresponding the individual data records obtained from the data set using the query specification, a respective range mapping value is generated. Using the range mapping values and the sub-range indicators, a result set of the filter request is obtained.

Abstract: Systems, devices, and methods discussed herein are directed to utilizing patterns and logical entities to identify and maintain relationships between data assets. In some embodiments, a query comprising a logical entity qualifier, one or more pattern identifiers that indicate a pattern, and a data set identifier may be received. The pattern is executed against a data set corresponding to the data set identifier and one or more logical entities are generated based on this execution. A logical entity may be a label that represents a set of one or more data assets in a data set. Assets that share a label can share attributes that are described by the label. The label corresponding to each logical entity may be presented, where each label represents a different set of data assets which share a common trait. In some embodiments, the user may define a pattern by which commonality may be assessed.

Abstract: Embodiments of the present invention provide systems and methods for associating rule mining. By way of example, embodiments obviate or mitigate performance and stability problems associated with conventional association rule mining approaches, by proposing concepts implementing association rule mining using rolling filtering bitmaps over dynamic data.

Abstract: In some examples, a computing system may receive a document comprising a paragraph associated with a purchase order. The paragraph may be converted into text. The computing system may use a parser to parse the text to identify particular portions associated with address-related information. The computing system may parse the text based on a pre-determined sequential order and also may remove the particular portions from the text based on the pre-determined sequential order. The computing system may then label and store the particular portions in fields of a data structure.

Abstract: Methods, systems, apparatuses, and computer program products are provided for merging the query results received for a query provided to multiple services. In one aspect, a query is transmitted to a plurality of search services. A plurality of query result sets is received from the search services in response to the query. A comparer function is generated by applying a ranking algorithm to the received query result sets that orders the query results of the query result sets without regard to a received order of the query results in the query result sets. The query result sets are merged into a merged query result set using the comparer function. In an aspect, the query result sets are merged in a manner that maintains an internal order of each received query result set in the merged query result set.

Abstract: A cloud-native global file system is augmented to include a file exporter (or, more generally, a file export tool) that facilitates an enterprise customer's use of a cloud-native tool that would otherwise be unable to operate against the global file system's underlying file system representation. In a typical use case, the file exporter is configured to extract in a native object format and to an unencrypted target (e.g., an S3 bucket, an Azure storage account, and the like) all or a portion of a volume's data from the underlying file system representation. In this manner, the exporter creates a copy of the data set that the enterprise user can then leverage against the desired cloud-native tool or other cloud services that are not under the management or control of the global file system service provider.

Abstract: Embodiments of the innovation relate to, in a development device, a method of generating a backend application for execution by a server device. The method comprises receiving, by the development device, ontology information associated with an enterprise domain, the ontology information including syntactic information and semantic information; applying, by the development device, a metaprogramming engine to the ontology information to generate the backend application; and forwarding, by the development device, the backend application to the server device.

Abstract: The present application discloses an information notification method and apparatus. The method is used for a first entity, and includes: determining a first resource feature; determining whether a structure of resources satisfies the first resource feature; and transmitting a notification message to a second entity if the structure of the resources satisfies the first resource feature.

Abstract: A material search system, includes a material search server, including a processor, a non-transitory memory, an input/output, a material library for storing material representations, a material search manager, a machine learner, an image translation model, and a semantic model; and a material search device. Each material representation includes a visual image, a color palette, a structural image, and a semantic structure. Also disclosed is a method of searching a material library and generating output material representations; including performing reverse image, reverse structure, and semantic searches; training image and structural translation models; and training a semantic model.

Abstract: Disclosed herein includes improving computational efficiency of multiply-accumulate (MAC) operation. In one aspect, a computing device identifies, a first vector including non-zero elements of a base matrix, and a second vector indicating a location of each of the non-zero elements of the base matrix. In one aspect, the device determines a first element and a second element of the first vector. In one aspect, the device determines a third element and a fourth element of the second vector. In one aspect, the device determines i) a fifth element of an input vector according to the third element of the second vector, and ii) a sixth element of the input vector according to the fourth element of the second vector. In one aspect, the device causes a MAC circuitry to perform a dot product according to the first element, the second element, the fifth element, and the sixth element.

Abstract: A system for processing cybersecurity monitoring data includes a load balancing operator coupled to at least one incoming data stream. The load balancing operator is operable to distribute cybersecurity monitoring messages amongst a plurality of collector processing units operable to generate monitoring records from the received cybersecurity monitoring messages in a first format. A plurality of parser sub-units coupled to the plurality of collector processing sub-units are operable to generate parsed monitoring records by converting the received monitoring records from the first format to a second format. A combiner operator coupled to the plurality of parser sub-units is operable to combine the parsed monitoring records from the plurality of parser sub-units into a synchronous output data stream. The system is configured such that data flows sequentially from the load balancing operator to the plurality of collector processing sub-units and to the plurality of parser sub-units to the combiner operator.

Abstract: Described herein are systems, methods, and non-transitory computer readable media for defining and executing functions for determining a matching entity that is relevant to an entity of interest when, for example, there is a significant number of intermediary links and entities between the matching entity and the entity of interest. A visual depiction of a path traversal from a seed input entity to an output matched entity can be presented to an end user in a manner that allows the end user to ascertain the sequence of intermediary links and entities that connect the matched entity to the seed entity.

Abstract: A file is created in a standardized format that defines a type of a containerized application and includes information for deployment of the containerized application. A single parser of the standardized format is thus enabled to deploy different types of containerized applications. The standardized file format includes an application definition. The application definition includes a service, a port list, a container list, a volume mount list, an access mode list, a resource usage list, or any suitable combination thereof. A client device presents a user interface that allows a user to select a containerized application to execute. An application server parses an application template file for the selected containerized application and, based on the information in the application template file, causes one or more servers (e.g., one or more Kubernetes cluster nodes) to execute the containerized application.

Abstract: Implementations of the present disclosure include receiving, by a query processing server, a first query, the first query including a syntax indicating that precision loss is allowed, processing, by the query processing server, the first query to provide a first QEP, optimization of which would result in precision loss in a generated query result, determining that the syntax is provided, and in response, optimizing the first QEP to provide an optimized QEP, executing the optimized QEP to generate a query result that includes data stored within a database system, the query result having reduced accuracy relative to a query result that would be generated based on the first QEP, and providing the query result as output from the database system.

Abstract: In an embodiment, a method comprises, by a networking data analysis system: receiving, from a client device, computer files, each computer file comprising log data; transforming each of the computer files, the transforming comprising: converting the log data associated with the computer files into a structured tabular representation of the log data; parsing the structured tabular representation of the log data to extract data elements associated with the log data and to identify data types associated with the data elements; creating a columnar representation of the log data based on the identified data types; storing the columnar representation of the log data in a columnar database; executing computer-implemented functions on the columnar representation of the log data to identify key networking security metrics; sending, to the client device, instructions for displaying the identified key networking security metrics associated with the log data of the one or more computer files.

Abstract: A method for summarizing text with sentence extraction including steps as follows. Sentences are extracted from a document including text by a natural language processing (NLP) based feature extractor. A word vector set with respect to each of the sentences is generated by a processor. The word vector set with respect to each of the sentences is used to generate a n-grams vector set and a phrase-n vector set with respect to each of the sentences. A word score representing similarity between the word vector sets, a n-grams score representing similarity between the n-grams vector sets, and a phrase-n score representing similarity between the phrase-n vector sets are computed. The word, n-grams, and phrase-n scores are combined to compute an edge score. Text features are selected from the sentences using the edge scores of the sentences, so as to output a summary of the document.

Abstract: A method and system for persisting data are provided. Batch data is periodically extracted via a computer system from at least one primary data source. Batch data is transformed via the computer system. The batch data is loaded, via the computer system, into a database. Real-time data is continuously received from at least one secondary data source. The received real-time data is indexed in an index. Business intelligence reports are generated from both the real-time data in the index and the batch data in the database.

Abstract: Specified performance attributes may be used to configure machine learning transformations for ETL jobs. Performance attributes for a machine learning pipeline that applies a model to as part of a transformation for an ETL job may be used to configure a parameter in a stage of the machine learning pipeline. The configured stage may then be used when training the model. The trained machine learning pipeline may then be applied as part of a transformation operation included in an ETL job performed by the ETL system.

Abstract: Systems and methods are described to provide additional relevant content to a viewer of digital media such as a webpage. A webpage being viewed is divided into regions and in each region, statistics are compiled on pertinent words and phrases. Statistically significant words and phrases are compared with semantically similar words and phrases in the additional content. Where there is a significant match between the viewed content and available additional content, the additional content is provided to the user.

Abstract: An apparatus comprises at least one processing device configured to perform steps of receiving a request to determine a path to a given web element of a web page of a web application and parsing the web page to detect web elements of the web page including the given web element and one or more additional web elements. The at least one processing device is also configured to perform steps of identifying one or more of the additional web elements having designated characteristics and selecting one of the identified web elements based at least in part on locations of the identified web elements, relative to the given web element, in a tree structure of the web page. The at least one processing device is further configured to perform the step of determining the path to the given web element from the selected web element.

Abstract: A method, a computer program product, and an information handling system is provided for identifying a causal relationship between metrics performing steps. The steps include receiving a correlation significance Sij between a metric Mi and a metric Mj; receiving a mutability attribute Ai for the Mi and a mutability attribute Aj for the metric Mj from a data source; and identifying the metric Mi causing the metric Mj with the Sij if only if the Ai is immutable and the Aj is mutable.

Abstract: Systems and methods for natural language processing of structured documents. In another embodiment, in an information processing apparatus comprising at least one computer processor, a method for processing a structured document may include: (1) receiving a document; (2) parsing the document into a plurality of components using a statistical parser; (3) extracting a plurality of entities from each component; (4) identifying a potential relationship between two of the plurality of entities; (5) generating a numeric representation for the potential relationship; (6) confirming the potential relationship with a logical regression model; and (7) generating and storing a unified structured file for the document.

Abstract: An information handling system may include at least one processor and a memory coupled to the at least one processor. The information handling system may be configured to receive data comprising a plurality of data chunks; perform deduplication on the plurality of data chunks to produce a plurality of unique data chunks; determine a compression ratio for respective pairs of the unique data chunks; determine a desired compression order for the plurality of unique data chunks based on the compression ratios; combine the plurality of unique data chunks in the desired compression order; and perform data compression on the combined plurality of unique data chunks.

Abstract: A lower-level master node sends, to a higher-level master node, a table-based write set as a bundle of combinations of a shadow copy of the database and a heap tuple map expanded in a memory, and the higher-level master node that received the write set verifies whether the update has already been executed and sends the record of this update to the lower-level master node as a transaction log including a table number, whereby the database can be updated efficiently and consistently from the lower-level master node to the higher-level master node, and from the higher-level master node to the lower-level master node under its control.

Abstract: Video streaming method, including establishing first link through first radio network between transponder and server via first base station, wherein transponder receives video data from camera; establishing second link through second radio network between transponder and server via second base station; generating video stream and sending to transponder; assigning sequence numbers to packets; transmitting video stream to server through first link as first stream, and through second link as duplicate second stream; on first sponge of first radio network, receiving radio data of first stream and sending it to server as third stream; on second sponge of second radio network, receiving radio data of second stream and sending it to server as fourth stream; on server, receiving first stream through first link and third stream from first sponge, and receiving second stream through second link and fourth stream from second sponge; discarding duplicate packets; combining packets into resultant stream.

Abstract: A method of transferring data to an end user via a content distribution network using an nonvolatile memory express over fabrics (NVMe-oF) device, the method including receiving a read request at the NVMe-oF device, translating a logical address corresponding to the data to a physical address, fetching the data from a flash storage of the NVMe-oF device, processing the data with a GPU that is either embedded in the NVMe-oF device, or on a same chassis as the NVMe-oF device, and transferring the data.

Abstract: A method may include obtaining forms each including fields each including field metadata, obtaining a schema including elements each including element metadata and defining constraints on a field of a form, identifying a corresponding element for each field, creating, for the field, a search result by combining the field metadata of the field and the element metadata of the corresponding element, adding the search result to a search results repository, receiving, from a user, a search query, in response to receiving the search query, determining, using the search results repository, search results, and ranking, using a ranking model, the search results.

Abstract: Methods, and mobile devices implementing the methods, identify the types of activities performed by a software application operating on a computing device, and take responsive actions based on the detected activity types. For example, the computing device may determine an application type of the software based on metadata associated with the software application, select a lookup table based on the determined application type, determining the types of activities performed by the software application based on the selected lookup table, and select, determine or performing a responsive action based on the types of activities performed by the software application on the computing device.

Abstract: Implementations generally relate to a spreadsheet add-in that provides data entry validation. As described in more detail herein, the spreadsheet add-in integrates a spreadsheet-based table component with a remote web service. The spreadsheet add-in uses web service metadata to validate data that a user enters into the spreadsheet. The spreadsheet add-in provides immediate feedback on errors in an interactive fashion for the user. Furthermore, during a data upload process, any errors that are reported by the web service are displayed in context such that the user may quickly affect corrections.

Abstract: In a driving data analyzer, a data collector collects, from at least one vehicle, driving data sequences while each of the driving data sequences is correlated with identification data. Each driving data sequence includes sequential driving data items, and each driving data item represents at least one of a driver's operation of at least one vehicle and a behavior of the at least one vehicle based on the at least one of a driver's operation. The identification data represents a type of at least one external factor that contributes to variations in the driving data items. A feature extractor applies a data compression network model to the driving data sequences to thereby extract, from the driving data sequences, at least one latent feature independently from the type of the at least one external factor.

Abstract: A computer system is provided that stores reference data records and event data records that each correspond to one of the reference data records. Tokens are generated from the reference data records and sorted into subsets. Each reference data record that has a given token is included in the corresponding subset. A correlation value is calculated between members (e.g., the reference data records) of the subsets. The correlation values are calculated by determining a common time, calculating a reference value, calculating a percentage difference from the reference value, and then determining a correlation value (e.g., a correlation coefficient) using the percentage difference.

Abstract: Techniques are provided for compression and decompression of log data. An exemplary method comprises: obtaining a log message, wherein the log message comprises a message template and one or more message variables; obtaining a compression index that maps a plurality of message templates to a corresponding message signature; and writing the one or more message variables and a message signature corresponding to the message template of the log message to a log file. A counter may be maintained for each of a plurality of distinct message templates, and a given message signature may be assigned to a particular message template based on a length of the given message signature and a frequency of occurrence of the particular message template. The compression index comprises, for example, a key/value database where the message templates are keys and the corresponding message signatures are values of the key/value database. A decompression index maps message signatures to corresponding message templates.

Abstract: Described herein is technology for replicating data from a source database to one or more target databases at different points in time. The system receives a request to replicate a data set stored in a source database. The system stores a copy of a first subset of the data set from the source database to a target database at a first time. The system stores a copy of a second subset of the data set from the source database to the target database at a second time.

Abstract: The presently disclosed systems and methods collect information associated with client instances, and use the information associated with the instances. In particular, information related to database servers and/or applications servers providing the instance may be retrieved from databases that store information relating to instances, and written and saved in an instance configuration file. Moreover, instances may be deployed or provisioned by reading an instance configuration file and setting properties of the instance using the parameters saved in the instance configuration file. Two instance configuration files may be compared to determine differences between the two files. Additionally, the instance may be reverted back to the previously healthy version of the instance using the previous instance configuration file.

Abstract: Generating a compliance framework. The compliance framework facilitates an organization's compliance with multiple authority documents by providing efficient methodologies and refinements to existing technologies, such as providing hierarchical fidelity to the original authority document; separating auditable citations from their context (e.g., prepositions and or informational citations); asset focused citations; SNED and Live values, among others.

Abstract: A control system, a control method and an equalization apparatus for improving process control reliability are provided. In each equalization apparatus, a received-data outputting unit sends, to a network, input data from a sensor measuring a state of a process; an other-apparatus-data receiving unit acquires the input data from the received-data outputting unit and receives, from the network, input data sent from each of other equalization apparatuses than itself; and a data selecting unit selects, as output data, a representative value of the input data acquired by the other-apparatus-data receiving unit. Each computing apparatus calculates a manipulative variable of an actuator based on the output data from a corresponding equalization apparatus.

Abstract: Techniques to protect against data loss are disclosed. In various embodiments, an amount of data that has changed since a last backup of at least a defined subset of a save set is determined. The determined amount of changed data is compared to a corresponding threshold. A backup is performed based at least part on a determination that the determined amount of changed data equals or exceeds the threshold.

Abstract: The disclosure herein describes generating test data based on a set of linked data nodes and associated data value rules. A plurality of data fields of a data structure is identified. A plurality of linked data nodes is generated based on the identified data fields, wherein each data node comprises a probability value and data value rules for generating data values for the data fields. Parent nodes of the linked data nodes are collapsed into associated child nodes to form combined data nodes. Test data values for the plurality of data fields are generated based on the combined data nodes and a data structure instance is populated with the generated test data values. The populated data structure instance is provided for use in executing tests. The generation of test data based on the data value rules of linked data nodes provides a realistic data environment for testing.