A knowledge management case.
A company wanted to develop a Knowledge Based system to assist the management of an industrial fusion oven. They also wanted the system to train engineers that would have to manage and maintain the fusion oven in the future.
For the knowledge engineer, the goal was to build a representation that capture the expertise and tacit or internalized knowledge of the engineers. For the firm, the goal is to build a knowledge-based system that allows the management of an industrial system and the training of engineers.
A project was set-up, and a Knowledge engineer (KE) was hired to build such a system. Her goal was to build a semantic net composed of concepts and relationships between them that represented the knowledge of the engineers.
To get the information that she needed she had to interview the company engineers in charge of the fusion oven's management and maintenance.
Using the IDEAprocessor, Applied intelligence Atelier's knowledge engineering technology, she analyzed the text transcribed from the interviews and developed graphical models of the engineers' know-how, using the K-language included in IDEAprocessor. She was able to show the diagrams to the engineers to obtain their feedback and modified it accordingly. The modification as well as the original creation of the diagrams were rendered very easy with IDEAprocessor's graphical features.
The first important feedback she received was that the engineers wanted all the company's documentation to be represented in such diagrams or schema because of the clarity and comprehension they conveyed. They are easier to work with than with written manuals and they greatly facilitate training. All the manuals include now the diagrams that represent the engineers knowledge.
The knowledge engineer was able to represent all the engineers' expertise and tacit or internalized knowledge in such graphical models with the K-language included in IDEAprocessor. She then built the Knowledge based system the firm wanted with a knowledge-based programming tool, exporting the Knowledge base built with IDEAprocessor. Now it is also possible to facilitate the export of knowledge base with XML.
She also used IDEAprocessor as a meta-CASE tool. As the knowledge elements she needed for the system were already represented in IDEAprocessor, she was able to export them to the knowledge-based programming tool to develop the knowledge-based system.
To model the expertise of the engineers she used the concepts and relationships IDEAprocessor provides to build a graphical representation (The K-language).
In IDEAprocessor, It is possible to represent knowledge in several views and define the semantic relationship between concepts. The result is both a graphical diagram that may be formalized as an extended semantic net. The internal representation may be exported and reused by a knowledge-based programming tool.
For the knowledge engineer, the goal was to build a representation that capture the expertise and tacit knowledge of the engineers. For the firm, the goal is to build a knowledge-based system that allows the management of an industrial system and the training of engineers. As a plus, they re-engineered the process of maintenance with the help of the IDEAprocessor's K-language diagrams. A complete lexicon and an ontology was produced automatically.
IDEAprocessor is not a shell or a programming environment for knowledge-based systems, it is a collaborative knowledge modeling environment, a knowledge management system.. It is a Meta-Case-Tool. However, a flexible shell is embedded for running and checking rules. It is designed to help humans to work with the tacit or internalized knowledge and represent it . Then it may be shared easily and transferred.
Today, you can take advantage of the K-Language implemented in webIDEApro