We describe the FM-Ultranet approach to provide decision support and experience management for a medical doctor in the course of conducting an ultrasonographical examination of a fetus in the mother’s uterus. Based on the medical background and the requirements of the examination we introduce a knowledge representation of fetal malformation and its utilization in a Case-Based Reasoning system t...

How to measure gain from the use of intelligent inference ? How can the complexity of the recognition/ classification task be estimated? What is the type of evidence which best suits an .inference mechanism? These questions are addressed here in their theoretical and methodological aspects. Their practical implications are demonstrated with 'real' crop mapping task. For this purpose, simple rul...

Due to the critical nature of knowledge base applications in important intelligence-based environments, much more stringent standards have to be imposed now on their ability to provide reliable decisions in an accurate manner. It is our contention that in order to build reliable knowledge-based systems, it is important that the knowledge in the system be suitably abstracted, structured, and oth...

This paper presents knowledge engineering work for building a knowledge-based system (KBS) for the amine-based CO2 capture process system at International Test Center for CO2 capture (ITC) located in Regina, Saskatchewan of Canada. The knowledge acquisition process was conducted for building knowledge base for the CO2 capture process system. The knowledge base includes static and dynamic knowle...

Successful approaches to developing knowledge acquisition tools use expectationsof what the user has to add or may want to add, based on how new knowledge fits within a knowledge base that already exists. When a knowledge base is first created or undergoes significant extensions and changes, these tools cannot provide much support. This paper presents an approach to creating expectations when a...

Developing a product configuration system is a non-trivial and challenging task for various reasons. First, the domain knowledge which has to be encoded into the system is often spread over several departments or functions within a company. Beside that, in many cases data from existing information systems have to be integrated into the configurator. Finally, the business rules or technical cons...

This paper presents an intelligent database system to support petrographic analysis. The main goal of the research is to solve problems in knowledge acquisition and representation to develop efficient systems in domains with weak theory. The proposition of this work is to use case-based reasoning technology coupled with a database system to develop systems that store and manage the information ...