Abstract: A system includes determination of a plurality of queries, each of the plurality of queries indicating a first object as a data source, generation of a first query on the first object based on a first two or more of the plurality of queries, modification of each of the first two or more queries to indicate the first query as the data source, requesting of execution of the first query and the modified first two or more queries, and reception of a result set associated with each of the first two or more queries.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining a query for a search result and identifying at least one entity in the query, discovering a facet-entity mapping corresponding to the entity from a knowledgebase. A facet in the facet-entity mapping is a property configured in the knowledgebase and an entity is an instance of the facet. The facet-entity mapping is displayed for the user and the query is searched from content, and the search result presented based on the facet and the entity from the facet-entity mapping.

Abstract: In one example, a user with multiple devices may have the same group of favorited webpages across each device while having the bookmark listing of the favorited pages organized to present a device-specific order. A user device may receive in a roaming bookmark listing profile a bookmark describing a webpage for ready access by a user. A user device may associate the bookmark with a usage data set describing an interaction with the webpage by the user. A user device may examine the usage data set for the webpage in relation to the user device. A user device may present the bookmark in a bookmark listing to a user based upon the usage data set.

Abstract: A determination is made, by a first device, that data in a first database is modified. The first database is associated with the first device. A notification is generated by the first device. The notification includes information associated with the data modification in the first database. The notification is transmitted by the first device to at least one second device. At least one second database is associated with the at least one second device.

Abstract: The purpose of the present invention is to provide a suitable user-friendliness to a user regarding a recommendation of application software on a portable information terminal. In order to accomplish the purpose, this portable information terminal is configured to set an application as a recommendation candidate when the status of the portable information terminal matches a condition corresponding to the application, and recommend the application when the application further matches a pre-set recommendation permitting condition. Hence, the portable information terminal and the application recommending method thereof capable of providing a preferable user-friendliness to the user can be provided.

Abstract: A method for generating a profile for a user based on the user's behaviour and altering a setup of at least one computer program based on the generated user profile. The generic user profile for a user may be updated to include information from a similar user (e.g., a user having similar preferences). Using information from similar users allows for a generic user profile to be generated using information extracted from applications (e.g., both social media and games) and/or based on the behaviour of connections (e.g., social media contact, etc.). The generated generic user profile may be used to change the set-up for applications (e.g., executed/stored on the user's mobile device).

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for inserting one or more records into a database table. An insert request for inserting a new record to a database table is received, wherein the new record includes at least one key field. a partial identity of at least one record matching the at least one key field of the new record is searched for. A partial identity is assigned to the new record based on a result of the searching.

Abstract: A method and software tool for identifying relationships between columns of one or more data tables are disclosed. In the disclosed method, a relationship indicator is computed for each of a plurality of column pairs, each column pair comprising respective first and second columns selected from the one or more data tables. The relationship indicator comprises a measure of a relationship (e.g. indicating a strength or likelihood of a relationship) between data of the first column and data of the second column. Relationships between columns of the data tables are then identified in dependence on the computed relationship indicators. The identified relationships may be used to create and execute data queries.

Abstract: A computer-implemented method of managing data in a data repository is disclosed. The method comprises maintaining a data repository, the data repository storing data imported from one or more data sources. A database entity added to the data repository is identified and a metadata object for storing metadata relating to the database entity is created and stored in a metadata repository. The metadata object is also added to a documentation queue. Metadata for the metadata object is received from user via a metadata management user interface and the received metadata is stored in the metadata repository and associated with the metadata object.

Abstract: Facilitating deduplication of data in a computing system without managing access to reference count variables. A method embodiment commences upon detecting first data unit and calculating a first checksum value. At a later time, a second data unit is received and the system calculates a second checksum value. If the second checksum value is the same as the first checksum value, then the first data unit and the second data unit are the same data and need not be duplicated. In such cases, an entry in the metadata points to the location of the first data unit that is already stored. Additional metadata entries are made in the metadata to associate a Boolean usage state flag and a Boolean deletion state flag with the second checksum value. Periodically scans of the metadata are performed. When both Boolean flags are in a particular state, the deduplicated data is deleted.

Abstract: The present disclosure relates generally to systems and methods of managing normally independent or unassociated business artifacts using an integrated business artifact management system (IBAMS) to deliver a cohesive, linked, and traceable network of related and integrated artifacts that supports improved business knowledge and impact analysis. A disclosed IBAMS includes a collection of integrated business artifacts stored in a memory of the IBAMS and a plurality of links, each associated with a respective data island of a plurality of data islands. Each link includes a set of instructions that, when executed by a processor of the IBAMS, cause the processor to: receive business artifacts from the respective data island; generate representations that are abstractions of the business artifacts received from the respective data island; and store and integrate the representations in the collection of integrated business artifacts.

Abstract: This technique improves energy efficiency of MapReduce system by using system performance model without changing any component of the MapReduce system. This involves determining presence of any hardware bottleneck in any node of MapReduce system based on a system performance model and if any hardware bottleneck is present in any node, then the maximum bandwidth value of hardware associated with the bottleneck of each node is determined. Thereafter, an energy efficient value of Central Processing Unit (CPU) frequency of each node having the bottleneck is determined by using the system performance model and the maximum bandwidth value of hardware associated with the bottleneck. Further, the CPU frequency of each node having the bottleneck is set at the energy efficient value determined in the earlier step.

Abstract: Embodiments of the present invention disclose a method and device for constructing a spatial index of massive point cloud data. The method includes: partitioning acquired original point cloud data to obtain a plurality of point cloud data blocks; constructing an octree index of a current point cloud data block for each point cloud data block; and merging the octree indexes of the plurality of point cloud data blocks to obtain a spatial index structure of the original point cloud data.

Abstract: In one embodiment, an operating system (on a computer device in a network of computer devices) interfaces with a distributed graph database that is distributed across the network of computer devices, and executes an application that has one or more parent data constructs that reference one or more child objects within the distributed graph database. Specifically, the one or more child objects each have a location-independent object identifier (OID) having at least: a) an OID-identifier (OID-ID) assigned upon creation to each particular child object by a data source of the location-independent OID; b) an OID-source structure that uniquely identifies the data source of the location-independent OID within the network of computer devices; and c) an OID-pointer indicative of a relative location of the particular child object in a memory mapped region. Accordingly, the operating system accesses the child objects (e.g., for an application) based on the location-independent OID.

Abstract: Techniques are disclosed herein for normalizing heterogeneous information provided in labels processed by Internet of Things (IoT) devices. A device (e.g., an IoT-enabled device) receives an item including label content. The label content includes attributes describing the item. The device determines that at least one of the attributes is not formatted for processing by the device. A request is generated to format the attributes for processing. The request includes the label content and a target language and a target encoding. The request is sent to a network service that translates the label content. The device receives the translated label content from the network service and processes the item according to the translated label content.

Abstract: Interactive sequential pattern mining is disclosed. One example is a system including a sequence miner, and an interaction processor. A sequence database is received, the sequence database including a plurality of input sequences, where each sequence of the plurality of input sequences is an ordered list of events, and each event in the list of events includes at least one item. The sequence miner mines the sequence database for a plurality of candidate sequence patterns, the mining based on an interaction with a user. The interaction processor processes the interaction with the user, the interaction based on domain relevance of the plurality of candidate sequence patterns to the user.

Abstract: Systems and methods are described for generating criteria for a plurality of web applications in an online application store, translating the criteria into at least one rule, the at least one rule based on predefined categories defined by the online application store, obtaining, metadata associated with a plurality of websites, determining, using the metadata and the at least one rule, whether any of the websites in the plurality of websites, includes code that executes a feature associated with the at least one rule, and displaying the icon as a selectable listing in the online application store.

Abstract: The invention relates to a Batch Stored Procedure Tool. An embodiment of the present invention may read a control file containing the name of a stored procedure to be tested, along with its corresponding input parameters and other key data. An embodiment of the present invention may then call the specified stored procedure using a dynamically-built parameter list. The system may then display or generate input/output parameter values. If the stored procedure in question has a result set(s), the system may fetch the desired number of rows from each result set and display the columns as well.

Abstract: A computer has a secondary storage device with a filesystem for persistent storage of application data, the filesystem having filesystem objects including files, directories, and group objects such as consistency groups. The group objects specify respective groups of the filesystem objects on which certain filesystem group operations act as a unit. The filesystem also has filesystem routines for performing filesystem operations including single-object operations and group operations. A single-object operation acts upon a specified user file or directory independently (e.g., opening or reading from a file), while a group operation acts upon a respective set of filesystem objects grouped together by a specified group object.