Modeling an O-O system is facilitated by a sound meta-model and an accompanying notational tool which fully represents the pure object-oriented ideas. Participants will learn how to apply the notation in a business environment, and why meta-modeling is important as an underpinning for notations and methodologies. For system developers, analysts, and designers.
A pragmatic approach to business solution design is presented which leads to component-based cooperative processing applications particularly well-suited to web-based commerce. The methodology expands the concept of implementation flexibility and respect for legacy systems in harmony with component-based architecture and message-based distribution. For practitioners and researchers.
A unique approach to information systems modeling is presented based on a generic model that is customized to the management strategies of the organization. The model can be used to help a business to better utilize its resources, to predict the impact of strategic direction on information technology, to insure correct measurement of Critical Success Factors, and to identify out-of-control data. For practitioners.
ORM is a richer, more expressive methodology than E-R modeling. It provides a more effective, more understandable presentation of a data model to non-technical end users while eliminating the need to distinguish entities and attributes or to know anything about normalization. Limitations of E-R modeling are identified and ORM's ability to overcome many of them is shown. Hands-on exercises help to develop superior data modeling skills. For practitioners and researchers.
The availability of non-textual ("multimedia") documents has given a new twist to information retrieval research, unfortunately setting even farther in the future the time in which generalized, automatic indexing methods will allow answering of content-based queries. Conceptual modeling and knowledge representation methodologies offer a promising approach to this problem.
While offering rigor, clarity, and manageability, many approaches to modeling require non-specialists to learn arcane symbols or terminology in order to participate in the modeling activity. This workshop will explore methods of enabling non-specialists to directly participate in the building, interpretation, and "owning" of the models they use in system design and implementation.
Cognition is the branch of cognitive psychology that seeks to understand thought processes and the structure of knowledge. This workshop will focus on using cognition to understand existing conceptual modeling techniques, to guide the design of new techniques, and to provide criteria for evaluating techniques and methods.
Researchers are devoting increasingly more energy to the problems of behavioral modeling in conjunction with traditional conceptual data modeling. The goals of this workshop are to better understand theoretical aspects of behavioral models, and to use that understanding to suggest transformations that would be helpful in the design of active systems.
The ER Institute
In Cooperation With