LIDs: A Light-Weight Approach to Experience Elicitation and Reuse

Abstract. Building common ontologies, setting up measurement programs, and conducting interviews are valid techniques to start eliciting knowledge and experience for later reuse. However, they appear too expensive and too resource-demanding in many industrial environments. This paper presents a light-weight approach to capturing important reusable material, including experiences. The LIDs approach includes defined process steps and templates to create reusable material for different kinds of users. It has emerged pragmatically from our long-standing process improvement work with different business units.

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..

Developing Knowledge-Based Systems with MIKE

The paper describes the MIKE (Model-based and Incremental Knowledge Engineering) approach for developing knowledge-based systems. MIKE integrates semiformal and formal specification techniques together with prototyping into a coherent framework. All activities in the building process of a knowledge-based system are embedded in a cyclic process 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 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 further on to design is achieved because all the description techniques rely on the same conceptual model to des..