ConceptBase—a deductive object base for meta data management
Journal of Intelligent Information Systems - Special issue: deductive and object-oriented databases
Data model and query evaluation in global information systems
Journal of Intelligent Information Systems - Special issue: networked information discovery and retrieval
Factors influencing requirements traceability practice
Communications of the ACM
Adapting traceability environments to project-specific needs
Communications of the ACM
PRIME—toward process-integrated modeling environments: 1
ACM Transactions on Software Engineering and Methodology (TOSEM)
Architecture and Quality in Data Warehouses
CAiSE '98 Proceedings of the 10th International Conference on Advanced Information Systems Engineering
Information Integration: Conceptual Modeling and Reasoning Support
COOPIS '98 Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems
Modeling and representation of complex objects: a chemical engineering perspective
IEA/AIE'93 Proceedings of the 6th international conference on Industrial and engineering applications of artificial intelligence and expert systems
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The process industries (chemicals, food, oil, ...) are characterized by - - continuous or batch -- processes of material transformation. The design of such processes, and their mapping to the available equipment (plants composed of production units in which reactions take place), is a complex process that determines the competitiveness of these industries, as well as their environmental impact. In cooperation with researchers and industry from chemical engineering, we have developed the idea to capture and evaluate the experiences gained about process designs in so-called process data warehouses. The data sources for such process data warehouses are highly heterogeneous tools, e.g. for conceptual design (termed flowsheeting in chemical engineering), for mathematical simulations of large non-linear differential equation systems, for measurements gained with experimental usage of equipment at small scale or in original size, or even from molecular modeling. The clients of a data warehouse are interested in operational data transfer as well as experience analysis (pattern detection, process mining) and reuse. Starting from an empirical analysis of the requirements for a process data warehouse, the paper describes the solution architecture we are pursuing, the models driving the approach, and the status of a prototypical implementation we are undertaking. The prototype links commercial components operationally through advanced wrapping techniques, where the workflow is determined by constraint analysis in a logic-based meta model and executed through a process-integrated modeling environment. In the conclusions, we point out what can be learned from this work for conceptual modeling in general.