Abstract: A metamodel selector may determine a semantic metamodel for at least two software applications, the semantic metamodel including a description of semantics, processes, and data that are applicable to the at least two software applications. A metadata manager may determine application metadata describing an application of the at least two applications. A transformation engine may transform the application metadata into an application-specific metamodel instance of the semantic metamodel, and an integration engine may integrate the at least two software applications, based on the application-specific metamodel instance.

Abstract: A computer-implemented method for automatically personalizing applications includes: receiving, in a computer system, user behavior data for multiple users of at least one application program, the application program having a user interface with multiple input controls displayed on multiple different panes, and the user behavior data reflecting actions performed using the input controls on the panes; identifying, using the computer system, at least one usage pattern in the user behavior data as meeting a usage pattern criterion; storing a personalization record based on identifying the usage pattern, the personalization record specifying the usage pattern as a sequence of activating at least some of the input controls on at least some of the panes; and automatically generating, using the computer system and based on the personalization record, a modified user interface according to the identified usage pattern.

Abstract: A metamodel selector may determine a semantic metamodel for at least two software applications, the semantic metamodel including a description of semantics, processes, and data that are applicable to the at least two software applications. A metadata manager may determine application metadata describing an application of the at least two applications. A transformation engine may transform the application metadata into an application-specific metamodel instance of the semantic metamodel, and an integration engine may integrate the at least two software applications, based on the application-specific metamodel instance.

Abstract: A data warehouse includes plurality of master data tables, a plurality of dimension tables and a fact table. The master data tables including surrogate identifiers. The dimension tables use the surrogate identifiers to link to the master data table domains within the master data tables. The fact table stores dimension identifiers that provide links to the master data tables. A cloud storage area includes a plurality of cloud dimension tables and a cloud fact table. Each cloud dimension table stores summary characteristics. Each cloud dimension table associates a separate cloud identifier with each entry of summary characteristics. The cloud fact table stores aggregated data representing key performance indicators. The cloud fact table includes a plurality of cloud identifier columns in which cloud identifiers are stored.

Abstract: In a data warehouse, a master table includes surrogate identifiers. Each surrogate identifier (SID) uniquely identifies a master table domain within the master table. A dimension table uses the surrogate identifiers to link to the master table domains. A SID generator uses first data supplied in a user query to generate a first SID indicating location of a particular master table domain in the master table. The SID generator generates the first SID without accessing the master table.

Abstract: A data warehouse includes a plurality of master data tables. The master data tables include surrogate identifiers. Each surrogate identifier (SID) identifies a master data table domain inside a master data table from the plurality of master data tables. A plurality of dimension tables use the surrogate identifiers to link to the master data table domains within the master data tables. A fact table stores dimension identifiers (DIM IDs) that provide links to the dimension tables. A domain fact table stores aggregated data aggregated from data stored in the master data tables. The aggregated data is accessible from the domain fact table using surrogate identifiers, without using DIM IDs stored in the fact table.

Abstract: A computer-implemented method for automatically personalizing applications includes: receiving, in a computer system, user behavior data for multiple users of at least one application program, the application program having a user interface with multiple input controls displayed on multiple different panes, and the user behavior data reflecting actions performed using the input controls on the panes; identifying, using the computer system, at least one usage pattern in the user behavior data as meeting a usage pattern criterion; storing a personalization record based on identifying the usage pattern, the personalization record specifying the usage pattern as a sequence of activating at least some of the input controls on at least some of the panes; and automatically generating, using the computer system and based on the personalization record, a modified user interface according to the identified usage pattern.

Abstract: A blower apparatus for a plant cutter including a hollow member affixed to conduct exhaust gases from the cutter. The hollow member conducts exhaust gases from the plant cutter to a connected rotatable hollow member and through a terminal opening in the rotatable hollow member. The rotatable hollow member adjusts the distance between the terminal opening and the cut vegetable resulting from the cutting mechanism of the lawn cutter.