Sap Se

Sap Ag

Intelligent Views Gmbh

Christoph Meinel

Robert Heidasch

Stefan Scheidl

Nico Licht

Klaus Reichenberger

Stephan Brand

Archim Heimann

Michael Neumann

Steffen Moldaner

Michael Hladik

Roland Kolata

Jan Portisch

Sandra Bracholdt

Stephan Schub

Gordon N Seiffart

Bjoern Pantel

Benjamin Merkle

Matthias Kaiser

Ralf Handl

Dirk Endesfelder

Frank Andreas Raebiger

Ekkehard Lange

Andreas S Borchardt

Julius F Fetthauer

Georg J Reiser

Stefan Wagner

Pierre Morant

Wolfgang Polai

Stephane Verrando

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.

Automatic conversion of data models using data model annotations

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.

Semantic related objects

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.

Self-learning semantic search engine

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.

Framework for integrated storage of banking application data

In one embodiment, systems and methods are disclosed to select a hedge from a plurality of hedges, select a first test method from a plurality of test methods, calculate a first indicia of hedge effectiveness using the first test method, store the first indicia of hedge effectiveness, repeat the calculating and the storing for each of the plurality of test methods; and determine a final indicia of hedge effectiveness by applying the stored plurality of indicia to a rule set. In another embodiment, systems and methods are disclosed to further perform an initial test to determine if additional, more complex tests are required. Embodiments disclosed herein may also display the state or meaning of a final effectiveness indicator to a user.

System and method for testing hedge effectiveness

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.

System and method for evaluation of simulated hedging relationship assignments

Growing community of inventors

Heidelberg, Germany

Christoph Meinel