Angelika Kotz Dittrich

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Current workflow management systems fall short of supporting large-scale distributed, enterprise-wide applications. We present a scalable, rigorously founded approach to enterprise-wide workflow management, based on the distributed execution of state and activity charts. By exploiting the formal semantics of state and activity charts, we develop an(More)
Enterprise–wide workflow management where workflows may span multiple organizational units require particular consideration of scalability, heterogeneity, and availability issues. The Mentor project which is introduced in this paper aims to reconcile a rigorous workflow specification method with a distributed middleware architecture as a step towards(More)
A workflow is the coordinated execution of a collection of computer–supported activities which are run under the responsibility of different, human or automated processing entities. Enterprise– wide workflow management where workflows may span multiple organizational units require particular consideration of scalability, heterogeneity, and availability(More)
The analysis of time series in financial and scientific applications requires database functionality with complex specialized modeling capabilities and at the same time an easy-to-use interface. We present the time series management system CALANDA which combines both, a powerful dedicated data model and an intuitive GUI. The focus of this paper and the(More)
Empirical research based on time series is a data intensive activity that needs a data base management system (DBMS). We investigate the special properties a time series management system (TSMS) should have. We then show that currently available solutions and related research directions are not well suited to handle the existing problems. Therefore, we(More)
The analysis of time series is a central issue in economic research and many other scientific applications. However, the data management functionality for this field is not provided by general-purpose DBMSs. Therefore, we propose a data model of a specialized Time Series Management System (TSMS) which accounts for these needs. The model is centered around(More)