Abstract: User access to a set of data stored in a distributed ledger, wherein the distributed ledger is stored by a plurality of node computing entities, is provided. A first node computing entity receives a share key request indicating that a first user account has authorized a second user account to have access to a set of data stored in the distributed ledger. A data access key (DAK) for accessing the set of data is encrypted using an encrypting key of the second user account. A block comprising the encrypted DAK is generated, signed using a signing key of the first user account, and posted to the distributed ledger. The block is authenticated using an authentication key of the first user account and accessed via a decrypting key of the second user account such that the second user account may use the DAK to access the set of data.

Abstract: Presentation synthesis implementations are presented that generally build a slide presentation based on a hierarchical outline of textual presentation elements. These elements are spatially mapped onto a canvas that provides a master layout for slides. This mapping is accomplished use a set of canvas layout and size rules. Each presentation text element is illustrated by a slide that visually combines canvas text and in one version supporting content items (e.g., text, image, video, and so on). The slides are generated using both the set of canvas rules, and a set of slide style rules. A systematic traversal of the text elements determines the slide path. Slides are styled to highlight the current focus element as the presenter moves through the presentation and can be zoomed out to the canvas to give context during delivery.

Abstract: A notes service receives note items produced by various software applications. Each of the note items may comprise metadata, context data, and content representative of a note. The notes service, for each of the note items, stores a given note item in a note repository and updates a graph based at least on the metadata, the context data, and the content for the given note. As the notes service receives queries from the various software applications obtain relevant ones of the note items from the note repository, the service searches the graph for one or more note items relevant to a given query. The one or more notes are retrieved from the repository and provided in reply to the requesting application.

Abstract: Tracking edits executed against a file to ensure that the edits are monitored consistently so that language service requests are properly handled. Initially, a collaboration session is established. This collaboration session includes an owner and a participant computer system. Then, the owner computing system receives messages that are directed toward a file stored by the owner computer system. These messages include edits that are to be performed against the file and language service request(s). A file version is then assigned to a subset of these edits. As the subset of edits are executed against the file, the file's state changes. The file versions are published to both the participant computer system and to a language service running on the owner computer system. The language service uses the published file versions to track the edits that are being executed against the file and to respond to the language service request(s).

Abstract: A data model extends or supplements an entity/resource association to include a “quality” of that association, where the quality is defined by an ordered set of relative values/characteristics. In an example scenario, an entity/resource association is augmented to include a quality characteristic that is defined by a tuple that is preferably an ordered set of relative values. The number of values and their designations in the data model will depend on nature of the underlying entity/resource association. When entity/resource associations are annotated to include relative quality values in this manner, much more useful comparisons of apparently similar entity/resource associations may be carried out.

Abstract: An information processing apparatus includes a data storage, and a processor coupled to the data storage and that executes a process including dividing data including a plurality of blocks, performing, for each portion generated by dividing the data, first clustering of blocks included in each of the portions based on similarities between the blocks included in each of the portions, determining, among the plurality of blocks, blocks to be collectively compressed based on results of the first clustering performed for each of the portions, and collectively compressing data of the determined blocks before storing the data into the data storage.

Abstract: A computer-implemented method for adaptive search refinement is provided. The method may include obtaining an indication of user engagement with an online marketplace and in response to obtaining the indication, providing visually guided search refinement to construct a search query for searching the online marketplace. Providing the visually guided search refinement may include providing search refinement options, obtaining an indication of the approval or disapproval of one or more of the search refinement options, and repeating providing the search refinement options and receiving the indication. For each iteration of providing the plurality of search refinement options, at least some of the search refinement options may be different and determined based on previously received indications of both approval and disapproval. The method for adaptive search refinement may further include providing search results based on the search query.

Abstract: In particular embodiments, a data processing data inventory generation system is configured to: (1) generate a data model (e.g., a data inventory) for one or more data assets utilized by a particular organization; (2) generate a respective data inventory for each of the one or more data assets; and (3) map one or more relationships between one or more aspects of the data inventory, the one or more data assets, etc. within the data model. In particular embodiments, a data asset (e.g., data system, software application, etc.) may include, for example, any entity that collects, processes, contains, and/or transfers personal data (e.g., such as a software application, “internet of things” computerized device, database, website, data-center, server, etc.). For example, a first data asset may include any software or device (e.g., server or servers) utilized by a particular entity for such data collection, processing, transfer, storage, etc.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for accessing volumes of data records structured to include sets dimensions, each dimension labelled in a manner specific to respective entities; identifying candidates data records keyed by managed keys that span a subset of dimensions even though at least one dimension from the subset of dimensions is labelled differently between the different volumes; comparing the candidate data records from the different volumes to determine whether a particular managed key is valid based on contents of the candidate data records from the different volumes; in response to determining that the particular managed key is valid, combining the candidate data records keyed by the valid managed key to be merged and accessible as one continuous entry; and in response to determining that the particular managed key is invalid, combining the candidate data records from the different volumes as separate entries.

Abstract: A Brain-Mobile Interface (BMoI) system is provided. A control circuit is configured to execute a predictive model to generate a defined number of predicted signal features in future time based on a number of signal features extracted from a first type sensory data (e.g., electroencephalogram (EEG) data). A predicted future mental state(s) can thus be generated based on the number of predicted signal features and used to trigger a corresponding action(s) in a BMoI application(s). In a non-limiting example, a second type sensory data (e.g., electrocardiogram (ECG) data) can be used to improve accuracy of the predictive model. By using the predicted signal features to generate the predicted future mental state(s) to control the BMoI application(s), it is possible to duty-cycle the BMoI system to help reduce power consumption and processing latency, thus allowing the BMoI application(s) to operate in real-time with improved accuracy and power consumption.

Abstract: An exemplary method receives user actions to (i) associate a first field with a first shelf and (ii) associate second and third fields with a second shelf. The second field is positioned at an outer-most position on the second shelf and the third field is positioned at an inner-most position on the second shelf. The method receives an additional user action to specify a nested sort according to data for the first and third fields. The method generates and displays a data visualization in accordance with the received actions, including: (i) partitioning retrieved data into groups of tuples, each tuple including data for the fields, and each group of tuples corresponds to a distinct value of the second field, (ii) forming panes, each pane corresponding to a respective group of tuples, and (iii) within each pane, displaying data marks, each data mark corresponding to a respective tuple.

Abstract: Techniques are provided for generating recommended query terms that are specialized to a topic of desired information based on a query associated with a user. In one example, a computer-implemented method comprising selecting, by a system operatively coupled to a processor, a coarse cluster of corpus terms having a defined relatedness to a query associated with a user from a plurality of coarse clusters of corpus terms; and determining, by the system, a plurality of candidate terms from search results associated with the query. The computer-implemented method can also comprise determining, by the system, at least one recommended query term based on refined clusters of the coarse cluster, the candidate terms, and the query; and displaying, by the system, the at least one recommended query term on a display device associated with the query.

Abstract: At least part of an analytic process is executed on one or more data sets. Execution of the analytic process is performed within an analytic computing environment. During the course of execution of the analytic process, a data structure is generated comprising data structure elements. The data structure elements represent attributes associated with execution of the analytic process. Value is assigned to at least a portion of the data structure elements. The data structure generated during execution of the analytic process may be stored in an accessible catalog of other data structures generated during execution of other analytic processes.

Abstract: A distributed ledger is stored by a plurality of node computing entities. A node computing entity of the plurality of node computing entities comprises at least one processor, a memory, and a communications interface configured to communicate via at least one network. The node computing entity creates a finite state machine record set. A finite state machine record of the finite state machine record set comprises (a) event data for a corresponding event and (b) a domain object state for a domain object corresponding to the corresponding event. The domain object state indicating the state of the domain object as a result of the corresponding event. The node computing entity generates a block comprising the finite state machine record set and posts the block to the distributed ledger.

Abstract: Among other things, this document describes a computer-implemented method for storing and retrieving information about the locations of objects. The method can include receiving a first query that includes one or more terms identifying an object. The first query can be determined to include a command to store location information for the object. The first query can be parsed to determine identifying information for the object, and a location can be determined for the object. The method further includes identifying one or more attributes of the object that are not specified in the first query, and causing a first set of data to be stored that characterizes the identifying information for the objet, the location of the object, and the one or more attributes of the object.

Abstract: Provided herein are techniques for processing a database query aggregating data. Data tuples of a database object each including a grouping element and a data element are analyzed to determine a length of the data element for each data tuple. A plurality of tables each accommodate a successively greater length for the data element. A corresponding table of the plurality of tables to store each data tuple is determined based on the length of the data element of that data tuple relative to the accommodated lengths of the plurality of tables. Each data tuple in the determined corresponding table is stored to group the data tuples within each of the plurality of tables based on the grouping element, and an indication of corresponding tables containing members for each group is provided. The groups are combined across the plurality of tables to aggregate the data tuples for a database query.

Abstract: A database command is received from a user for modifying an existing data structure or creating a new data structure. The database command is used to construct a query that is provided to a query optimizer component where the query is transformed into a first query execution plan including operations that persist operation state. Some data specified in the query is received, and some of the new data structure is constructed by executing some of the first query plan. While receiving some of data specified in the query and constructing some of the new data structure, operation state of execution is persisted. When an interruption of execution of the first query plan occurs, an updated query plan is generated using persisted operation state. External updates occur, before or after the interruption, but before executing the updated query plan. The external updates are transactionally validated.

Abstract: A facility for adjusting a display of a result of searching a property database is described. The facility, after displaying a list of properties satisfying a search filter, allows a user to specify property attributes the values of which are not currently shown for the properties, and redisplays the list of properties by additionally showing the values of those property attributes for the properties.

Abstract: A snapshot of a distributed ledger is generated, wherein the distributed ledger is stored by a plurality of node computing entities. A first node computing entity reads current states of one or more domain objects from a local cache stored by the node computing entity and corresponding to an application operating on the node computing entity. A snapshot record comprising the current states of the one or more domain objects is generated and written to a segment data file. The snapshot record is posted to the distributed ledger as part of a block.

Abstract: A computer-implemented method according to one embodiment includes identifying a plurality of documents associated with a predetermined subject, where each of the plurality of documents contains textual data, analyzing the textual data of each of the plurality of documents to identify one or more categories within the plurality of the documents, and returning the one or more categories identified within the plurality of the documents.