Abstract: Electronic source information is reconciled by normalizing at least some electronic source information, transport information and destination information by applying a plurality of rules to extract the information into at least one schema. At least some of the normalized information is identified to contain at least one discrepancy or missing data record, and reconciliation information is provided in a graphical user interface. Electronic information is received that reconciles the discrepancy or the missing record, and the reconciled and normalized electronic source, transport and destination information is processed to provide data analytics. A report is generated that represents the data analytics and that is output to at least one user. This can occur in one or more implementations of the present application.

Abstract: A system and a method for creating an OData custom query involve retrieving properties for a data object defined in a software application, and then displaying a graphical user interface by which the retrieved properties are selected together with additional options. A plurality of partial queries are created based on the selected properties and the additional options. The partial queries are combined to form a complete OData query for the software application.

Abstract: Query disambiguation can include identifying, a first set of word clusters in a first candidate answer generated in response to a first input query for a question-answering system. Each of the first set of word clusters can be classified according to a syntactic element of a first set of syntactic elements. Query disambiguation can include identifying, in the first input query, a second set of word clusters. Each of the second set of word clusters can be classified according to a syntactic element of a second set of syntactic elements. Query disambiguation can include determining that the first word cluster is classified according to a first syntactic element that is not present in the second set of syntactic elements and generating a second input query using the first input query and the first word cluster.

Abstract: Query disambiguation can include identifying, a first set of word clusters in a first candidate answer generated in response to a first input query for a question-answering system. Each of the first set of word clusters can be classified according to a syntactic element of a first set of syntactic elements. Query disambiguation can include identifying, in the first input query, a second set of word clusters. Each of the second set of word clusters can be classified according to a syntactic element of a second set of syntactic elements. Query disambiguation can include determining that the first word cluster is classified according to a first syntactic element that is not present in the second set of syntactic elements and generating a second input query using the first input query and the first word cluster.

Abstract: Disclosed aspects relate to query hint learning in a database management system. A hint in a first query is detected by the database management system. The first query has a first signature. A second query is received by the database management system. The second query has a second signature. A determination is made by the database management system that the second signature correlates with the first signature. A query plan is established by the database management system. The query plan is based on the second query and uses the hint in the first query. In response to receiving the second query, the database management system processes the query plan.

Abstract: Disclosed aspects relate to query hint learning in a database management system. A hint in a first query is detected by the database management system. The first query has a first signature. A second query is received by the database management system. The second query has a second signature. A determination is made by the database management system that the second signature correlates with the first signature. A query plan is established by the database management system. The query plan is based on the second query and uses the hint in the first query. In response to receiving the second query, the database management system processes the query plan.

Abstract: Embodiments are directed to a method of performing incremental block based backups for volume and sub-file level backups by providing a change block tracking driver component, maintaining a context of the change block tracking driver as a driver context using a single bitmap that represents the volume being tracked, and maintaining the bitmap as the only element to track changes across the volume backups and multiple application backups involving different sub-file level backups.

Abstract: A processing request is received. The processing request includes information about a first location where a set of data is stored and information about a second location where the set of data is to be transferred. The size of the set of data is determined. The size of the available portion of the second location is determined. If the size of the set of data is smaller than the size of the available portion of the second location is determined. Responsive to determining the size of the set of data is larger than the size of the available portion of the second location, the size of the available portion is requested to be increased. The size of the available portion of the second location is increased to a size larger than the determined size of the set of data.

Abstract: A system and article of manufacture for managing access to queries and, more particularly, for managing access by multiple users to persistently stored queries. One embodiment discloses managing access by multiple users to a predefined query against data in a database. The embodiment comprises associating one or more access rights with at least some portion of the predefined query. When a request to access the predefined query by a first user is received, access to the predefined query by the first user is limited on the basis of the access rights.

Abstract: An interactive searching method and apparatus are provided. The interactive searching method includes following steps. A query is obtained, and intention clarification information of the query is generated according to a history search log associated with the query and a predetermined semantic knowledge base to display on a client webpage in which the query is.

Abstract: The present disclosure relates a computer-implemented method comprising obtaining, at a database application, a selection of one or more database metadata items from a user device, wherein each metadata item includes human-intelligible content and each metadata item identifying an associated database object contained in a database, identifying, based at least partially on the database objects associated with the selected one or more metadata items, one or more predefined database views of the database application, registering the identified one or more predefined database views, monitoring if the one or more predefined database views are updated after the registering operation and triggering pushing of an update notification to the user device in response to a monitored update of the one or more predefined database views.

Abstract: This technology relates to a method, non-transitory computer readable medium, and influencer analyzing computing device for analyzing content associated with one or more influencers of at least one social network. This technique involves identifying key influencers of at least one social network with respect to a topic of interest. Thereafter, an overall topic cloud and an influencer topic cloud for each key influencer is created and analyzed. The overall topic cloud and an influencer topic cloud are compared to cross-verify if the identification of the key influencers is correct. After that, volume of social interaction of the key influencers with respect to the topic of interest are determined and visualized.

Abstract: Embodiments include an evaluator that can receive a query containing a predicate from an application executing on a client device. The evaluator can process the predicate using a tree structure containing nodes representing objects and edges representing relationships thereof. The processing can include applying filters to attributes of the relationships to identify a first set of objects relevant to the predicate and navigating along each incoming role of a relationship and from there via an outgoing role to other objects to identify a second set of objects relevant to the predicate. An object is relevant to the predicate if at least a value of a field of the object is equal or similar to a value of the predicate. Responsive to the query, the evaluator can return identifiers associated with a united set of the first set of objects and the second set of objects to the application.

Abstract: Selectively applying format attributes of a source to the content of a destination. The format attributes defining the format of one or more source objects are captured, and from among the captured attributes, format attributes are selected. A destination object is formatted such that selected format attributes are copied to the content of the destination, and the copied format attributes are applied to the destination object as a destination format.