Sap Ag

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Matthias Schmitt

Toralf Grossmann

Andreas F Morsch

Gerd Ritter

Daniel Buchmann

Gunther Stuhec

Renzo Colle

Michael Seubert

Stephan Hetzer

Paola Sala

Werner Gnan

Joachim Kenntner

Thilo Kraehmer

Gregor Rieken

Markus A Peter

Johann Kemmer

Andreas Bold

Tao Yu

Thomas Nitschke

Georg Podhajsky

Markus Biehler

Andre Wagner

Andreas Brossler

Antonia Gross

Wolfgang Nieswand

Ralf Sievers

Christoph Lehner

Otto Makris

Thomas Maag

Stefan Elfner

Rudolf Winkel

Michael Zoeller

Jochen A Rasch

Axel Kuehl

Volker Jaeck

Ruediger Radcke

Daniela Schapler

Andreas Schneider

Uwe Pyka

Frank Thome

Dagmar Schultze

Karsten Koetter

Corinne Kuster

Jens Zachmann

Theo Zimmerman

Gabriel Alvarez

Gerhard Gschwender

Joerg Hendricks

Wolf Hengevoss

Christine Hofmann

Bernhard Kelnberger

Dominic Poetschke

Dietmar Nowotny

Daniel Bock

Arnulf Schueler

Robert Doerner

Stefan Adelmann

Stefan Franke

Volker Ripp

Renato Zadro

Adam Kiwon

Konstantin Skodinis

Werner Liebold

Reiner Seyler

Bare Said

Horst Schaude

Bernd Schmitt

Michael Neumann

Michael Meyringer

Dirk Henrich

Hong-Hai Do

Andreas Huppert

Ingo Bruss

Christian Drumm

Andreas Neumann

Michael Bauer

Silke Storch

Joachim Puteick

Martin Rogge

Hendrik Geipel

Patrick Gross

Florian Rehfeld

Ashwin Reddy Yeddula

Frank Reinemuth

Armulf Schueler

Andrea Pluemper

Kai-Uwe Pielka

Stefan Miller

Klaus Bahr

In some embodiments, a method receives a set of objects for creating clusters based on a similarity measure between the objects and selects an object in the set of objects. A plurality of structures is constructed around the object where a size of each structure is a multiple of the similarity measure. The method selects a cluster of objects by analyzing objects within a first structure and a second structure in the plurality of structures around the object. Objects outside of the first structure and the second structure are not analyzed. The cluster of objects are removed from the set of objects. Then, the method performs the selecting of a cluster of objects for another object in the remaining objects in the set of objects and the removing the cluster of objects for the another object until all objects have been added to a cluster.

Clustering process for objects using comparison structures

In some embodiments, a method receives a set of objects for creating clusters based on a similarity measure between the objects and generates a data structure for the objects. The method generates link counts for objects by constructing links between objects in the set of objects based on entries between the objects. A link is constructed between the objects when the entry for the respective objects includes a first value. An object is selected that has a largest link count. The link count being a number of objects that are linked to the selected object. A cluster is created including the selected object and any objects that are linked to the selected object via the links. Then, the objects in the cluster are removed from the set of objects and a link count is reduced for objects that are linked to the removed objects. This process is continued for remaining objects.

Clustering process for objects using link counts

Embodiments include a system for matching an element of a source schema to an element of a target schema. The system includes a processing unit and a communication unit. The processing unit may be configured to: identify a sample data item of the element of the target schema; match a part of the sample data item to a part of a sample instance of the source schema; and match the element of the source schema to which the part of the sample instance of the source schema belongs to the element of the target schema. The communication unit may be configured to: provide the sample data item through an interface and receive the sample instance of the source schema.

Schema matching for data migration

Methods and systems consistent with the present invention provide a data processing system having a business object model reflecting the data used during a business transaction. Consistent interfaces are generated from the business object model. These interfaces are suitable for use across industries, across businesses, and across different departments within a business during a business transaction.

Consistent set of interfaces derived from a business object model

Methods and apparatus, including systems and computer program products, for a services architecture design that provides enterprise services having foundation layer functionality at the level of an enterprise application. The design includes a set of service operations, process components, and optionally deployment units. Suitable business objects are also described.

Foundation layer for services based enterprise software architecture

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Speyer, Germany

Matthias Schmitt