Abstract: Techniques are disclosed for storing and rendering a graphical user interface (GUI) that includes a display area for specifying result fields and operators to define an abstract query. Each result field corresponds to a logical field specification of a data abstraction model abstractly describing data in a database. The GUI further includes a display area for specifying classification fields for the abstract query, each classification field including a result field and a classification definition, and the display area including a result field window displaying available result fields and graphical elements configured to allow specification of classification definitions for one or more selected result fields. The classification definition is suitable for dividing data into a plurality of categories.

Abstract: Methods and apparatus, including systems and computer program products, to provide clustering of users in which users are each represented as a set of elements representing items, e.g., items selected by users using a system. In one aspect, a program operates to obtain a respective interest set for each of multiple users, each interest set representing items in which the respective user expressed interest; for each of the users, to determine k hash values of the respective interest set, wherein the i-th hash value is a minimum value under a corresponding i-th hash function; and to assign each of the multiple users to each of the respective k clusters established for the respective user, the i-th cluster being represented by the i-th hash value. The assignment of each of the users to k clusters is done without regard to the assignment of any of the other users to k clusters.

Abstract: One embodiment includes receiving user input specifying a plurality of result fields for an abstract query. Each result field corresponds to a logical field specification of a data abstraction model abstractly describing the data in the database. The method further includes receiving user input selecting one of the plurality of result fields, and receiving user input specifying a classification definition for the selected result field. The classification definition is suitable for dividing data to be returned for the selected result field into a plurality of categories. Then, a classification field for the abstract query is generated on the basis of the selected result field and the classification definition. The classification field is included with the abstract query. The method further includes receiving a user request for execution of the abstract query against the database.

Abstract: Provided is a method, for using schemas to generate application specific business objects for use in an integration broker. A schema is accessed defining an application specific data structure for one application. A business object is generated including fields corresponding to elements and attributes indicated in the accessed schema. A determination is made of application specific information for the generated business object indicating a correspondence of the fields in the business object to the application specific data structure. The business object is written out with the determined application specific information in a format that is understandable to an integration broker that communicates business objects to a plurality of applications, wherein the business object is capable of being processed by an adapter enabling communication with the application for which the accessed schema is provided.

Abstract: An apparatus for controlling devices for searching homology of queries in a base sequence in parallel, includes: a memory for storing a base sequence and an appearing frequency of each of first strings each having a fixed length appearing in the base sequence; and a processor for executing a process including: obtaining queries for searching homology in the base sequence; retrieving each of second strings each having a longer fixed length then that of first strings and partially appearing in each of the queries; determining an approximate appearing frequency of each of the second string on the basis of the appearing frequency of the first strings; evaluating for each of the query sequences a load of task for searching homology; and allocating each task for searching homology for each of the queries among the devices on the basis of the result of evaluation of the load of the each task.

Abstract: File system objects of unknown type are backed up and restored. A list of file system objects is received from a file system. The file system objects are to be backed up. For each file system object that has a file type that is unknown, the following is performed. First, the file system is queried to obtain information regarding the file system object that is sufficient for the file system to later recreate the file system object if necessary. Second, the file system object and the information regarding the file system object are stored. Examples of file system object types of the file system that may be unknown to an application running on a Microsoft Windows® operating system include symbolic links, named pipes, and special device files.