Open Models as a Foundation of Future Enterprise Systems (Dagstuhl Seminar 12131)

This report documents the program and the outcomes of Dagstuhl Seminar 12131 ``Open Models as a Foundation of Future Enterprise Systems\u27\u27. Research on open models introduces a new model of collaboration among researchers, developers, and prospective users of reference enterprise models-leading to the prospect of shaping future enterprise systems. This seminar brought together researchers and practitioners with expertise in a broad range of fields including conceptual modelling, model-driven engineering, enterprise systems, software architectures, and modelling tool development. The seminar mixed short presentations on the attendees\u27 perspectives on open models with keynote presentations and working groups on selected research issues. Topics discussed include the shape of future enterprise systems amalgamated with open reference enterprise models, business domains to be addressed in first open models, requirements towards a technical infrastructure as well as organisational issues of open model initiatives. The seminar\u27s discussions benefitted from the different perspectives of attendees on the common topic, raised important new questions on open models, and brought to light overlooked aspects important to future research activities

Metadata and Cooperative Knowledge Management

Cooperative knowledge management refers to the work practice or culture facet of information systems engineering; it plays a key role especially in engineering and consulting domains. However, in comparison to technology-centered and business-process-centered meta modeling approaches (exemplified by UML and ERP), this aspect has received significantly less attention in research and is much less mature in terms of international standardization. We claim that additional interdisciplinary research effort is needed in this direction, and discuss different points of attack, largely in terms of their implications for better metadata management and meta modeling

Hydrologic controls on the development of equilibrium soil depths

The paper describes the MIKE (Model-based and Incremental Knowledge Engineering) approach for the development of knowledge-based systems (kbs). It integrates semiformal specification techniques, formal specification techniques, and prototyping into a coherent framework. This allows the domain and task model of a kbs to be described on different formalization levels. All activities in the building process are embedded in a cyclic life cycle model. For the semiformal representation we use a hypermedia-based formalism which serves as a communication basis between expert and knowledge engineer during knowledge acquisition. The semiformal knowledge representation is also the basis for formalization, resulting in a formal and executable model of expertise specified in the Knowledge Acquisition and Representation Language (KARL). Since KARL is executable the model of expertise can be developed and validated by prototyping. A smooth transition from a semiformal to a formal specification and fu..