International Business Machines Corporation

Bernhard Mitschang

Albert Maier

Charles Daniel Wolfson

Mike W Grasselt

Michael Wurst

Oliver Suhre

Alexander Lang

Christoph H Sieb

Ruben Pulido De Los Reyes

Frank Leymann

Peter Gerstl

Matthias Kloppmann

Kunjavihari Madhav Kashalikar

The present disclosure relates to a method for accessing data of one or more data sources using a discovery engine. The method comprises: determining a discovery space content from initial metadata of a data source indicated in a data exploration request. The discovery space content may be rendered. The rendered content may be used for determining a set of one or more tasks for generating further metadata from at least part of the data of the data source, wherein the set of tasks comprises a combination of API calls. The API calls may be issued to the discovery engine. Discovery results of the issued API calls may be received. A data discovery status may be devalued using the discovery results. The discovery space content may be augmented using the further metadata and the data discovery status. The augmented discovery space content may be rendered for receiving further API calls.

Method and system for a discovery engine

Methods and apparatus, including computer program products, implementing and using techniques for automatic workflow processing in a workflow processing computer system. A data management system support module receives a data management activity description, determines a set of set references associated with the data management activity, determines a set of data sources associated with the set of set references within a data management system, determines whether the data management system includes infrastructure for accessing the references and for accessing the data sources, in response to determining that the infrastructure is not included, automatically creates the infrastructure from information in a metadata repository coupled to the data management system, replaces in the data management activity description references to set references and references to data sources by references to the infrastructure in the data management system, and delivers the data management activity description for execution by the system.

Workflow processing system and method with database system support

A new data mining model (DMM) is created having at least one of the following characteristics: quality and complexity. The new DMM is handled as a candidate for storing in a storage device if a predefined criterion for the characteristics is met. The sum of the sizes of the new DMM and already stored DMMs is determined. In response to the sum falling below a storage limit, the new DMM is stored in the storage device. In response to the sum exceeding the storage limit, a decision is taken based on priorities of the DMMs which DMMs to store in the storage device.

Selective storing of mining models for enabling interactive data mining

Computerized methods, data processing systems, and computer program products for storing of data mining models (DMMs) are provided. A new DMM is created having at least one of the following characteristics: quality and complexity. The new DMM is handled as a candidate for storing in a storage device if a predefined criterion for the characteristics is met. The sum of the sizes of the new DMM and already stored DMMs is determined. In response to the sum falling below a storage limit, the new DMM is stored in the storage device. In response to the sum exceeding the storage limit, a decision is taken based on priorities of the DMMs which DMMs to store in the storage device. The priorities depend at least on access frequencies of the DMMs. Upon a data mining request, a corresponding DMM is determined and a user is requested to confirm that data mining is to proceed if quality of the determined DMM does not fulfill a further predefined criterion.

Methods and apparatus, including computer program products, implementing and using techniques for automatic workflow processing in a workflow processing computer system. A federated data management system support module receives a data management activity description, determines a set of set references associated with the data management activity, determines a set of data sources associated with the set of set references within a federated data management system, determines whether the federated data management system includes infrastructure for accessing the references and for accessing the data sources, in response to determining that the infrastructure is not included, automatically creates the infrastructure from information in a metadata repository coupled to the federated data management system, replaces in the data management activity description references to set references and references to data sources by references to the infrastructure in the federated data management system, and delivers the data management activity description for execution by the system.

Workflow processing system and method with federated database system support

Activities within a workflow are either data management activities (DMAs) or non-DMAs. A workflow is typically carried out by a system by executing one activity after the other. This can, however, be very time consuming. A method and system are provided for optimizing a group of activities (GOA) comprising a DMA, whereby the GOA is comprised in the workflow to improve the overall performance. The method determines the DMAs, and for each DMA, a data level statement (DLS). The GOA is determined and a process graph model (PGM) is determined from the GOA so that the DLS is comprised in the PGM and the semantics of the PGM are identical to those of the GOA. The PGM is optimized for which an optimized GOA is determined. The semantics of the optimized GOA are identical to those of the GOA. In the workflow, the GOA is replaced by the optimized GOA.

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Boblingen, Germany

Bernhard Mitschang