Hermann Kaindl joined the Vienna University of Technology in early 2003 as a full professor. In the same year, he was elected as a member of the University Senate.
His current research interests include software and systems engineering focusing on requirements engineering and architecting, and human-computer interaction as it relates to interaction design and automated generation of user interfaces. He has published 5 books and more than 220 refereed papers in journals, conference and books proceedings.
It also covers ontological evaluation of enterprise systems and their interoperability, and ontological analysis of business process modeling. Applied research looks into enhancing business rule engines and business process management systems by ontologies. Business process modeling research aims to define how process modeling and execution languages, such as Business Process Modeling Notation and Business Process Execution Language, relate to business rules and ontologies. Enterprise integration and collaboration research addresses ontology-based service description technologies for inter-enterprise collaboration. VORTE 2011 is the 6th workshop associated with the EDOC conference series that intends to bring together researchers and practitioners in areas such as philosophical ontology, enterprise modelling, information systems, semantic web, model-driven engineering, business rules, and business process management.
6th International Workshop on Vocabularies, Rules and Ontologies for The Enterprise (VORTE
In Proceedings of the 2010 Winter Simulation Conference (pp. Foundation of Transition Rules in Simulation Models. In Proceedings of the 2013 Winter Simulation Conference (pp. 1335-1346). properties in event types are the basis for defining event routines (and rules) in event types.
Formal ontology for information systems is now a research focus in such diverse domains as conceptual modeling, database design, software engineering, artificial intelligence, computational linguistics, the life sciences, bioinformatics, geographic information science, knowledge engineering, information retrieval, and the semantic web. Researchers in all these areas increasingly recognize the need for serious engagement with ontology to provide a foundation for their work, where ontology is understood as a general theory of the types of entities and relations making up domains of enquiry. Activity Concept for Business Process Modeling and Simulation. In Proceedings of Winter Simulation Conference (pp. 2951−2962). These two event rule design models can be merged into a process design model shown in Figure 28.
Figure 28. A DPMN process design model integrating the two rule design models. These two event rule design models are visually expressed in the DPMN diagrams shown in Figure 26 and Figure 27. CustomerDeparture events, since only these two event types have been included in the information design model in Figure 21.
The workshop also welcomes experience reports and empirical studies that are reporting on the use of ontologies and rules in the enterprise system development lifecycle. Class Diagrams for information modeling, and UML Activity BPMN or Diagrams Process Diagrams for process modeling. Extending Discrete Event Simulation by Adding an Activity Concept for Business Process Modeling and Simulation.
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Andreas Schmidt was awarded his diploma in computer science by the University of Karlsruhe in 1995 and his PhD in mechanical engineering in 2000. Dr. . Schmidt has numerous publications in the field of database information and technology extraction.} He regularly gives tutorials on international conferences in the field of Big Data related topics and model driven software development. Prof. Schmidt followed sabbatical invitations from renowned institutions like the Systems-Group at ETH-Zurich in Switzerland and the Database Group at the Max-Planck-Institute for Informatics in Saarbrucken/Germany. The term Discrete Event Simulation (DES) has been established as an umbrella term subsuming various kinds of computer simulation approaches, all based on the general idea of modeling entities and events.
The information design model must distinguish between exogenous and caused (or endogenous) event types. 2010b), we first model object types, together with their associations, and add event types on top of them then. model.
These information systems also evolved from supporting basic business functions to complex integrated enterprise platforms and ecosystems. Due to this complexity, enterprises increasingly adopt enterprise architecture as a means to manage change and complexity. Furthermore, enterprise architecture itself evolved from being a modeling exercise and a means to align business and IT to a corporate management function concerned with managing all facets of an enterprise.