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The knowledge engineering effort within GEODISE is primarily geared to the identification, elicitation and representation of the key knowledge structures that underlie decision-making competency in the domain of design-optimization. The broader context of this project, i.e. the need to deploy knowledge solutions within the architectural framework of the GRID computing environment, demands additional attention to the specification of knowledge-level descriptions that will enable the effective inter-operation of distributed web services with respect to the realization of a variety of problem-solving goals.
To meet these knowledge engineering objectives, GEODISE requires the coordinated efforts of a number of academic and industrial organizations, all of whom are strategically placed to bring state-of-the-art knowledge technologies and techniques to bear on the problem of eliciting, analyzing, and representing domain-relevant knowledge. Both the current workshop, and the DAML + OIL workshop, provide an overview of the range of knowledge technologies available to the GEODISE research community. It is hoped that both of these workshops will facilitate managerial decision-making about the best way for industrial and academic partners to co-opt their respective technologies with the aim of delivering high-quality knowledge solutions in an efficient and timely manner.
The CommonKADS methodology (Schreiber et al, 2000) was developed in order to fulfill the needs of knowledge systems analysts and engineers to build to industry-quality knowledge systems on a large scale, in a structured, controllable and repeatable fashion. The CommonKADS methodology provides a integrated suite of modeling and analysis tools that cover all aspects of contemporary knowledge engineering, including project management, problem-opportunity identification, knowledge analysis and system specification. CommonKADS also avails itself of a set of modeling formalisms that bear a close resemblance to the standard modeling notations seen in conventional software engineering methodologies such as the UML.
The basic aim of the CommonKADS approach is to provide an integrated suite of modeling tools and methodological guidelines that assist the knowledge engineer in specifying and designing robust knowledge systems that are acceptable to the end-user and valuable to the client organization. Epistemics has successfully applied the CommonKADS approach to deliver knowledge-based solutions in number of target areas. These include:
