Abstract: Inferences may be obtained to handle access requests at a non-relational database system. An access request may be received at a non-relational database system. The non-relational database system may determine that the access request uses a machine learning model to complete the access request. The non-relational database system may cause an inference to be generated using data items for the access request as input to the machine learning model. The access request may be completed using the generated inference.

Abstract: At least one unique collection of storage artifacts can be specified to indicate that the storage artifact is a member of the unique collection. Each storage artifact can be a discrete object comprising digitally encoded content that is stored as a node within a tree structure of a tangible storage medium. The collection can be referenced by a set of different storage artifacts to form a collection of related storage artifacts. Each storage artifact can correspond to different collections, wherein membership within a collection is independent of a storage path within the tree structure. A file management action relating to the storage artifact can be performed. The file management action can be dependent upon the storage artifact being a member of the unique collection.

Abstract: A method and system for processing signals from a plurality of groups of sensors are described. Each group includes a first sensor and at least one additional sensor. A first sensor identifier and first sensor data are received from the first sensor. At least one additional sensor identifier and additional sensor data are also received from the additional sensor(s). The first sensor and the additional sensor(s) of each group are co-located. The first sensor identifier is associated with the additional sensor identifier(s) for each group. Calibration information for the first sensor is obtained based on the first sensor identifier and the additional sensor identifier(s). The calibration information is specific to the first sensor having the first sensor identifier. Corrected first sensor data for each of the groups is provided based on the first sensor data, the additional sensor data and the calibration information.

Abstract: Disclosed is a computer program stored in a computer-readable medium according to an exemplary embodiment of the present disclosure. When the computer program is executed by one or more processors, the computer program allows the following operations for data caching to be performed and the operations may include an operation of generating a cache, an operation of caching at least some of the segments and at least one of records to the cache, an operation of reading the cache when receiving an inquiry request from a client, an operation of determining to read a cursor based on whether there is a segment or record corresponding to the inquiry request in the cache; and an operation of determining whether a query for at least one of a relational database and a hierarchical database is generated based on whether there is the segment or record in the cursor.

Abstract: A system, method and computer program product for accessing content based on an image. The method comprises comparing an image to a database of images, each of the images of the database being associated with at least one corresponding audio track, identifying those ones images of the database that correspond to the image, and identifying the at least one corresponding audio track that corresponds to the identified images. In one example aspect, the method also comprises presenting the audio track to a user. Corresponding metadata also can be presented. The images may be classified by, e.g., genre, musical album, concept, or the like, and, in cases where an input image is determined to belong to any such classes, audio content and/or metadata relating thereto are identified and presented to the user.

Abstract: A computer system comprising a processor, graphical output means and a computer readable storage medium storing instructions that when executed by the processor cause the processor to perform a method for quantifying and aggregating the relevance of documents.

Abstract: Various methods, apparatuses/systems, and media for automatically mapping physical data models or objects to logical data models which in turn are automatically mapped to business terms are disclosed. A database stores a raw physical data model of an application. A processor extracts the raw physical data model of the application from the database. The processor also converts physical object names associated with the raw physical data model into English terms based on a taxonomy expansion list; applies a plurality of standardization and contextualization rules to the English terms generated from converting the physical object names; outputs names based on applying the plurality of standardization and contextualization rules to the English terms; applies fuzzy logic and machine learning routines and matching algorithms for matching the names to predefined logical terms; and automatically generates a mapping of physical objects or elements in the application with logical attributes and related business terms.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for neuromorphic experiential analysis of sensor data. The methods, systems, and apparatus include actions of obtaining sensor emissions from multiple sensors, generating monotonic data that indicates an orientation of the sensor emissions in respect to time, determining that the monotonic data matches a registered query, and in response to determining that the monotonic data matches a registered query, invoking an executor.

Abstract: Implementations provide a flexible schema for efficiently querying chainable event blocks on user-identified data fields. An example method includes receiving at least one query parameter and, responsive to receiving the at least one query parameter, identifying an event access data record that includes a group identifier and a field matching the query parameter. The method also includes locating potential responsive blocks, the potential responsive blocks being event blocks in a chain that include the group identifier, and each of the potential responsive blocks also including content and a hash of a predecessor block. The method also includes identifying a first block of the potential responsive blocks that has content that includes the field matching the query parameter, and providing the first block as a response to the query.

Abstract: Generating persistent multifaceted statistical distributions of event data associated with computing nodes is disclosed. From a data stream, events are identified that occur during a first time interval. Characteristics associated with the events are determined. Based on a primary characteristic, it is determined that an event corresponds to an event cluster. The event count for that cluster is incremented. It is determined that the characteristics correspond to an event descriptor of events in the cluster. Responsive to requests to view the event cluster, information about descriptors from the cluster are displayed indicating events having a particular event descriptor, or a summary of characteristics that distinguish the descriptor from other event descriptors.

Abstract: Content for products can be identified. For each identified content, at least one class to which the first content pertains can be predicted using an artificial intelligence multiclass model. For each identified first content that corresponds to the at least one class, a support level of the product with regard to at least one class can be predicted using artificial intelligence binary class models. For each identified product, data indicating the product and the support level of the product with regard to the at least one class can be added to a data table. A product features map based on the data indicating the products and a support level of each product with regard to the at least one class can be generated and output.

Abstract: Techniques described herein relate to a method for optimizing workflow execution. The method may include receiving an event notification at a service controller, wherein the event notification is associated with a workflow deployed in a device ecosystem; performing, based on receiving the event notification, a workflow reconfiguration action comprising: providing a first workflow portion to a first platform controller in a first domain in the device ecosystem; transmitting a workflow reconfiguration action notification to a second platform controller in a second domain of the device ecosystem; identifying, by the second platform controller and in response to receiving the workflow reconfiguration action notification, a data transfer optimization action associated with data to be transmitted from the second domain to the first domain and used during execution of the first workflow portion; and transmitting the data from the second domain to the first domain using the data transfer optimization action.

Abstract: Enabling auto-completion of database commands includes receiving, at a database command execution device from a client device, a request to execute a database command where the request includes a first indicator of a first set of tokens of the database that is available at the client device; executing the database command; transmitting, from the database command execution device to the client device, a response to the request that includes a status of the execution of the database command and a second indicator of a second set of tokens of the database that is different from the first set of tokens; receiving, at the database command execution device and from the client device, an update-tokens request that includes the first indicator; and transmitting, from the database command execution device and to the client device, data indicative of differences between the second set of tokens and the first set of tokens.

Abstract: Database replay log compaction verification includes identifying at least one replay log of a table that includes first database manipulation commands; obtaining a compacted replay log that includes second database manipulation commands that are insert commands, where an insert command includes a column and a corresponding value; replaying, to obtain a first replay result, the first database manipulation commands; replaying, to obtain a second replay result, the second database manipulation commands; and, responsive to one row of the first replay result not matching a corresponding row of the second replay result, sending a notification including a non-match. Replaying the first database manipulation commands includes identifying condition columns of the table; responsive to the condition columns not including the column, obtaining a row corresponding to the insert command, where the row includes a modified value of the corresponding value of the column; and adding the row to the first replay result.

Abstract: In some embodiments, an apparatus includes a memory associated with an instance of a distributed database at a compute device configured to be included within a first group of compute devices. The apparatus is configured to determine an order for each event from the set of events based on different configurations of an event consensus protocol. The different configurations are logically related to different configurations of compute devices that implement the distributed database. The apparatus is configured to determine a current state of the instance of the distributed database based on the order determined for each event from the set of events and generate a signed state associated with the instance of the distributed database based on a hash value associated with the current state. The apparatus sends a signal to post into the instance of the distributed database an event that includes a transaction indicative of the signed state.

Abstract: Systems and methods for assisting one or more users in the production of a media work from a plurality of recordings are disclosed. In an exemplary embodiment, digital versions of the recordings are stored on a file-storage server accessible over a communications network. A media-library server provides an organized way for users to access and view the digital versions, and to associate various data files with the digital versions, such as transcription files, logging files, and storyboard documents. The exemplary media library generates web pages that enable users to search and access the digital versions from an internet browser running on a conventional personal computer. The browser also enables users to view the digital versions with a browser-compatible media viewer.

Abstract: One embodiment provides a method for generating a digital standard utilizing a trained machine-learning model, the method including: receiving an underlying standard; extracting conceptual units from the underlying standard; classifying, using at least one trained machine-learning model, at least a portion of the extracted conceptual units into one of a plurality of classification groups, wherein each of the classification groups identifies a function of the extracted conceptual units, included within a given classification group, within the underlying standard; wherein the classifying comprises classifying conceptual units from the underlying standard based upon sections of a schema corresponding to a digital standard; and storing the classified extracted conceptual units into a data repository based upon the schema. Other aspects are described and claimed.

Abstract: A method for execution by at least one processor of a database system includes indexing a first column via a probabilistic indexing scheme. An IO pipeline that includes a probabilistic index-based IO construct for access of the first column is determined based on a query including a query predicate indicating the first column. The probabilistic index-based IO construct is applied in conjunction with execution of the query via the IO pipeline by applying an index element of the probabilistic index-based IO construct to identify a first subset of rows based on index data of the probabilistic indexing scheme for the first column. A filter element of the probabilistic index-based IO construct is applied to identify ones of a first subset of the plurality of column values corresponding to the first subset of rows that compare favorably to the query predicate.

Abstract: A data management device is communicably connected to a first database and a second database in a different structure from the first database. The second database is converted to the structure of the first database, and is stored as a conversion table based on first data schema information defining the structure of the first database and second data schema information defining the structure of the second database. For which database a query that is received from the outside and described corresponding to the structure of the first database is a query is determined with reference to the conversion table. When the query is determined to be a query for the second database, the query is converted and is introduced into the second database, and a query result in response to the query is converted into a format corresponding to the structure of the first database and output.

Abstract: Techniques for configuring query result information associated with query result data include configuring execution of a query using a plurality of execution stages. Query result data is generated based on the execution of the query. The query result data includes a plurality of data portions. Each data portion of the plurality of data portions is obtained at a corresponding execution stage of the plurality of execution stages. Query result information is generated based on the execution of the query. The query result information includes authentication information associated with accessing the plurality of data portions.