Auflistung nach Autor:in "Volz, Bernhard"
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- KonferenzbeitragA Modeling Methodology for Scientific Processes(Workshop des Arbeitskreises „Umweltdatenbanken / Umweltinformationssysteme“ der Fachgruppe „Informatik im Umweltschutz“, 2007) Jablonski, Stefan; Volz, Bernhard; Rehmann, AbdulScientists are more and more dealing with complex scenarios during their daily research work. Processes are being used to describe these scenarios and help to understand them – on the outside thanks to graphical notations, on the inside thanks to structured methods which are necessary to conquer the information flood. However many modeling systems and their underlying methodology are confronting problems during the development of a scientific workflow. We want to present our methodology which eliminates these pitfalls and demonstrates its usage in the scientific application domain with an example from ecological research.
- KonferenzbeitragDiversityMobile – Mobile data retrieval platform for biodiversity research projects(Informatik 2009 – Im Focus das Leben, 2009) Jablonski, Stefan; Kehl, Alexandra; Neubacher, Dieter; Poschlod, Peter; Rambold, Gerhard; Schneider, Tobias; Triebel, Dagmar; Volz, Bernhard; Weiss, Markus
- KonferenzbeitragEvolution of business process models and languages(Business process, services – computing and intelligent service management, 2009) Jablonski, Stefan; Volz, Bernhard; Dornstauder, SebastianThe only constant is change' is an often cited phrase. We regard it as predominant for the area of process based information systems. In this paper we investigate how evolution of process based information systems can be supported by a process modeling framework that easily can be adjusted to changing requirements of an application domain. Our key contribution is the provision of a system infrastructure that supports the adaptation of both process modeling languages and process models to evolving application requirements. Our approach is based on a multi level meta modeling framework.
- KonferenzbeitragProcess and Ontology Based Data Integration(Environmental Informatics and Industrial Ecology, 2008) Jablonski, Stefan; Volz, Bernhard; Rehman, M. AbdulOver the past years scientific research has been undergoing a special kind of globalization; data stemming from diverse sources spread over the whole world need to be integrated in order to perform analysis with a global context (e.g. to simulate the climate or just to find out how the weather system is working). But also when looking closer at smaller scenarios such as importing and storing data from a sensor network in a database, the need for systematic data integration becomes more and more eminent since the amount and the heterogeneity of data is not declining but increasing constantly. This publication presents a methodology based on process modeling and ontologies for performing data integration. The strength of the methodology resides in the provision of a structured way of how data integration can be performed such that scientists need to be as less as possible concerned with integration issues.