Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.

Abstract: The invention relates to a method for behaviour-based authentication (400) of a current user (1) to a mobile, portable communication system (100), which has at least one sensor (110) for capturing gross-motor measurement data (500), a gross-motor classification module (200), a processor (130), and an internal memory (120). Furthermore, a user is registered in the mobile, portable communication system (100). The sensor (110) is designed to recognise the gross-motor measurement data (500) of a gross-motor movement of the current user (1) of the mobile, portable communication system (100) and the gross-motor classification module (200) is trained to capture a generic gross-motor movement pattern with the help of training data sets of a user cohort. In addition, the gross-motor classification module (200) implements a machine-learning method. The gross-motor classification module (200) is executed by the processor (130) of the mobile, portable communication system (100).

Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.

Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.

Abstract: Techniques and solutions are described for converting data models between formats, such as between a conceptual data model and a physical data model for a database system, or between a conceptual data model and artefacts to be implemented in the database system. The conceptual data model is annotated with annotations that allow the physical data model or database artefacts to be automatically generated from the conceptual data model. The annotations can reflect relationships between entity types in the physical data model, such as inheritance relationships, header/item relationships, or one-to-one cardinality relationships. Annotations can also indicate attributes that should be added to entity types in the conceptual data model, such as attributes for versioning or data governance, that may not be used in the conceptual data model. Annotations can be used to determine how entity types in the conceptual data model will be denormalized in the physical data model.

Abstract: A method for behaviour-based authentication of a current user to a mobile, portable communication system, is implemented using at least one sensor for capturing gross-motor measurement data, a gross-motor classification module, a processor, and an internal memory. Furthermore, a user is registered in the mobile, portable communication system. The sensor is designed to recognise the gross-motor measurement data of a gross-motor movement of the current user of the mobile, portable communication system and the gross-motor classification module is trained to capture a generic gross-motor movement pattern with the help of training data sets of a user cohort. In addition, the gross-motor classification module implements a machine-learning method. The gross-motor classification module is executed by the processor of the mobile, portable communication system.

Abstract: In an embodiment, a method is provided for utilizing a meta-model semantic network. In this method, a meta-model of the enterprise data is obtained. The meta-model provides semantic information regarding a definition of a business object. The meta-model is then used to generate a rule definition that maps enterprise data to a semantic object definition and a semantic relation definition. With the rule definition, embodiments may then generate a semantic object and a semantic relation from data extracted from the enterprise data. The semantic object and semantic relation are stored in the meta-model semantic network.

Abstract: A method, machine readable storage medium, and system for providing a self learning semantic search engine. A semantic network may be set up with initial configuration. A search engine coupled to the semantic network may build indexes and semantic indexes. A user request for business data may be received. The search engine may be accessed via a semantic dispatcher. And based on the access, search engine may update the indexes and semantic indexes.

Abstract: A method, machine readable storage medium, and system for providing a self learning semantic search engine. A semantic network may be set up with initial configuration. A search engine coupled to the semantic network may build indexes and semantic indexes. A user request for business data may be received. The search engine may be accessed via a semantic dispatcher. And based on the access, search engine may update the indexes and semantic indexes.

Abstract: A method, machine readable storage medium, and system for providing a self learning semantic search engine. A semantic network may be set up with initial configuration. A search engine coupled to the semantic network may build indexes and semantic indexes. A user request for business data may be received. The search engine may be accessed via a semantic dispatcher. And based on the access, search engine may update the indexes and semantic indexes.

Abstract: The invention relates to an apparatus (1) for processing information (20, 21, 22, 23) in connection with the preparation and/or development of objects by spatially distributed planning groups, the information relating to the current state of preparation and/or development.

Abstract: In a banking application system including numerous banking applications, a data management framework allows for the generalized storage and subsequent access of result data. Through the application of the framework to the raw processing data generated by one of the banking applications, the result data is stored in a general storage location. Through this framework, the data is then readily accessible by all other banking applications. This framework includes a header field, characteristics data and key figure data. This removes proprietary restrictions on the data itself and thus makes it available to the other applications, increasing cross-system efficiency by allowing other applications to access and subsequently use the result data.

Abstract: The invention relates to an apparatus (1) for processing information (20, 21, 22, 23) in connection with the preparation and/or development of objects by spatially distributed planning groups, the information relating to the current state of preparation and/or development.

Abstract: A system and method for evaluation of simulated hedging relationship assignments. A processor may, in response to an inputted selection of a simulated hedging relationship assignment, calculate at least one effectiveness value for the simulated hedging relationship assignment.

Abstract: In a banking application system including numerous banking applications, a data management framework allows for the generalized storage and subsequent access of result data. Through the application of the framework to the raw processing data generated by one of the banking applications, the result data is stored in a general storage location. Through this framework, the data is then readily accessible by all other banking applications. This framework includes a header field, characteristics data and key figure data. This removes proprietary restrictions on the data itself and thus makes it available to the other applications, increasing cross-system efficiency by allowing other applications to access and subsequently use the result data.

Abstract: A system and method for evaluation of simulated hedging relationship assignments. A processor may, in response to an inputted selection of a simulated hedging relationship assignment, calculate at least one effectiveness value for the simulated hedging relationship assignment.

Abstract: The invention relates to a data link between a first computer (1) and a second computer (2) for transmitting data. The aim of the invention is to provide a data link which is configured in such a way that non authorized third parties are not able to influence said data transmission or to find their way from the outside to one of the computers and to tamper with data. The inventive data link comprises a lock element (6), a first lock gate (7) being placed between said first computer (1) and said lock element (6) and a second lock gate (8) being placed between said second computer (2) and said lock element (6). The first lock gate (7) is closed when the second one (8) is opened and vice-versa.