Abstract: A system and method are described to create and use an Integrated Object Environment (IOE) running in a graph database environment. Uses include storing, revealing and maintaining value and risk of information assets, such as the topology of an analytical infrastructure in query-driven, graph database. A graphical user interface is described to permit importation, viewing, modification and querying in the IOE.

Abstract: Annotation of large image datasets is provided. In various embodiments, a plurality of medical images is received. At least one collection is formed containing a subset of the plurality of medical images. One or more image from the at least one collection is provided to each of a plurality of remote users. An annotation template is provided to each of the plurality of remote users. Annotations for the one or more image are received from each of the plurality of remote users. The annotations and the plurality of medical images are stored together.

Abstract: Shuffling of into partitions by first grouping input vertices of a limited number. Each group of input vertices may then be simply shuffled into a corresponding group of intermediate vertices, such as by broadcasting. A second grouping occurs in which the intermediate vertices are grouped by partition. The intermediate vertices then shuffle into corresponding output vertices for the respective partitions of that group. If the intermediate vertices are still too large, then this shuffling may involve recursively performing the shuffling just described, until ultimately the number of intermediate vertices shuffling into the output vertices is likewise limited. Thus, the final shuffling into the output vertices might also be simply performed by broadcasting.

Abstract: A computer system contains a module configured to receive a query, to request rows and columns from a data store, to add or remove rows in such a way that combinations of queries cannot be used to infer information about individuals in the data store. The module executes a statistical computation over the adjusted rows and columns to produce a perturbed answer so that neither the perturbed answer alone, nor repeats of the perturbed answer can be used to infer information about individuals in the data store.

Abstract: Provided are a computer program product, system, and method for creating a restore copy from a copy of a full copy of source data in a repository that is at a different point-in-time than a restore point-in-time of a restore request. A repository has a full copy of source data as of a full copy point-in-time and for each of a plurality of point-in-time copies at different point-in-times of the source data, change information indicating changed data in the source data that changed between the point-in-time of the point-in-time copy and a subsequent point-in-time, and changed point-in-time data comprising data in the source data as of the point-in-time of the point-in-time copy indicated in the change information as changed. A point-in-time copy of the full copy is created in response to a restore request and returned as a restore copy to the restore request.

Abstract: Annotation of large image datasets is provided. In various embodiments, a plurality of medical images is received. At least one collection is formed containing a subset of the plurality of medical images. One or more image from the at least one collection is provided to each of a plurality of remote users. An annotation template is provided to each of the plurality of remote users. Annotations for the one or more image are received from each of the plurality of remote users. The annotations and the plurality of medical images are stored together.

Abstract: A mechanism is provided for preparing a high-quality data repository. Data and related metadata from a set of data sources are ingested thereby forming a set of unprepared data. The set of unprepared data is transformed based on a set of functions into a set of transformed data. A set of semantic text descriptions that detail the transformation of the set of unprepared data to the set of transformed data is generated using a first set of semantic associations, a second set of semantic associations, and a set of semantic transformation associations. The set of transformed data is tested against one or more governance policies that tracks data lineage to ultimately show that prepared data is in compliance. Responsive to the set of transformed data adhering to the one or more governance policies, a high-quality data repository is automatically built using the transformed data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing a reactive database query retrieval system.

Abstract: In accordance with an embodiment, described herein is a system and method for transaction recovery in a multitenant application server environment. At least one resource manager associated with a partition can be designated as a determiner resource for that partition only, in order to support eliminating transaction logs (TLOG) in processing a two-phase commit transaction. A transaction manager can prepare all other resource managers in the mid-tier transactional system before the determiner resource. Furthermore, the transaction manager can rely on the list of outstanding transactions to be committed that is provided by the determiner resource for recovering the transaction. The transaction manager can commit an in-doubt transaction returned from a resource manager that matches the list of in-doubt transactions returned from the determiner resource. Otherwise, the transaction manager can roll back the in-doubt transaction.

Abstract: A system and method are described to create and use an Integrated Object Environment (IOE) running in a graph database environment. Uses include storing, revealing and maintaining value and risk of information assets, such as the topology of an analytical infrastructure in query-driven, graph database. A graphical user interface is described to permit importation, viewing, modification and querying in the IOE.

Abstract: In accordance with the present disclosure, files may be deduplicated in a distributed storage system having a plurality of storage volumes. A uniqueness metric for each file may indicate a degree of deduplication of the respective data files in the given storage volume. The uniqueness metric may be used to identify files for rebalancing in the distributed storage system. The uniqueness metric may be efficiently calculated with enough accuracy using a sampling methodology.

Abstract: Methods, systems and computer readable media are provided for accessing data utilizing a multi-level table comprising generating a plurality of levels of the multi-level table, wherein a first level of the multi-level table includes a hyper-table with a plurality of hyper-cells each hyper-cell including information for a group of cells from an initial base table, wherein intermediate levels of the multi-level table each include a plurality of hyper-tables comprising hyper-cells with each hyper-table linked to and providing information for a corresponding hyper-cell of a hyper-table of a prior level, and wherein a plurality of tables of a terminal level includes information from cells of the initial base table with each table linked to and providing information for a corresponding hyper-cell. Data from the multi-level table is accessed by traversing links between the hyper-tables of the plurality of levels to access data within the tables of the terminal level.

Abstract: Methods, systems and computer readable media are provided for accessing data utilizing a multi-level table comprising generating a plurality of levels of the multi-level table, wherein a first level of the multi-level table includes a hyper-table with a plurality of hyper-cells each hyper-cell including information for a group of cells from an initial base table, wherein intermediate levels of the multi-level table each include a plurality of hyper-tables comprising hyper-cells with each hyper-table linked to and providing information for a corresponding hyper-cell of a hyper-table of a prior level, and wherein a plurality of tables of a terminal level includes information from cells of the initial base table with each table linked to and providing information for a corresponding hyper-cell. Data from the multi-level table is accessed by traversing links between the hyper-tables of the plurality of levels to access data within the tables of the terminal level.

Abstract: A method for executing multiple versions of an application within a computing environment. The method includes a computer processor identifying a request to execute an instance of a first version of an application within a computing environment and determining that an instance of a second version of the application is active within the computing environment. The method further includes accessing a data structure including information associated with the application to obtain a first set of data corresponding to the first version of the application. The method further includes copying one or more executable objects associated with the first version of the application based, at least in part, on the first set of data to the computing environment. The method further includes executing the copied one or more executable objects associated with the first version that comprise the requested instance of the first version of the application within the computing environment.

Abstract: A server system associates one or more locations with a query by identifying the query, selecting a set of documents responsive to the query, and assigning weights to respective documents in the set of documents based, at least in part, on historical data of user clicks selecting search result links in search results produced for historical queries substantially the same as the identified query. Websites hosting the selected documents are identified, and, for each website, location-specific information for one or more locations is retrieved, including a location-specific score that corresponds to the likelihood that the respective location corresponds to a respective website. For each respective location for which location-specific information was retrieved, aggregating the location-specific scores, as weighted by the document weights, to compute an aggregated likelihood that the respective location is associated with the query.

Abstract: A computer-implemented system and method for distributed activity detection is provided. Contextual data collected for a user performing an activity is processed on a mobile computing device. The mobile computing device extracts features from the contextual data and compares the features with a set of models. Each model represents an activity. A confidence score is assigned to each model based on the comparison with the features and the mobile computing device transmits the features to a server when the confidence scores for the models are low. The server trains a new model using the features and sends the new model to the mobile computing device.

Abstract: Provided are a computer program product, system, and method for using a repository having a full copy of source data and point-in-time information from point-in-time copies of the source data to restore the source data at different points-in-time. The source data is copied to a full copy in the repository. Point-in-time copies are initiated at different point-in-times of the source data. In response to completing each of the point-in-time copies, transmitting to the repository change information indicating changed data in the source data that changed between the point-in-time and the subsequent point-in-time and changed point-in-time data comprising data in the source data as of the point-in-time of the point-in-time copy. In response to a restore request having a restore time, applying the changed point-in-time data from at least one of the point-in-time copies to the data of the full copy to restore the full copy to the restore time.

Abstract: In one embodiment, a method includes a computing system accessing a content item associated with a content provider, the content item having a first set of attributes and a second set of attributes. The system may generate, using a first machine-learning model, a first ranking score of the content item for a user based on the first set of attributes. The system may generate cluster representations of the second set of attributes of the content item. The system may generate, using a second machine-learning model, a second ranking score of the content item for the user based on the cluster representations. The system may generate, using a third machine-learning model, a third ranking score of the content item for the user based on the first ranking score and the second ranking score. The system may select the content item for presentation to the user based on the third ranking score.

Abstract: The present invention relates to a mobile terminal capable of voice recognition and a control method thereof. A mobile terminal, according to the present invention, comprises: a user input unit for receiving an input of a search word from a user; a control unit for calculating at least one search result corresponding to a time lapse on the basis of history information related to the search word; and a display unit for outputting the calculated at least one search result corresponding to a time lapse.

Abstract: A natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. The operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.