Add to ORKGThis thesis contains a study of state of the art knowledge acquisition modelling principles and methods for modelling general domain knowledge. This includes Newell's knowledge level, knowledge level modelling, Components of Expertise, CommonKADS and the Protégé meta tool. The thesis also includes a short introduction to the knowledge-intensive case-based reasoning system TrollCreek. Based on this background knowledge, one did analysis and comparison of different possible solutions. Then, after justifying the choices made, a knowledge acquisition method for TrollCreek was created. The method was illustrated through an example, evaluated and discussed
A system which represents knowledge is normally referred to as a knowledge based system (KBS). This ...
In this paper we describe a system aimed at providing software support for the process of knowledge ...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
This thesis contains a study of state of the art knowledge acquisition modelling principles and meth...
International audienceA knowledge-intensive case-based reasoning system has profit of the domain kno...
International audienceA knowledge-intensive case-based reasoning system has profit of the domain know...
Building knowledge intensive Case-Based Reasoning applications requires tools that support this on-g...
Abstract. Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In ...
This paper discusses and compares two different approaches to model-based knowledge acquisition. Tha...
Abstract. Building knowledge intensive Case-Based Reasoning applica-tions requires tools that suppor...
Knowledge Acquisition refers to the transfer of expertise from a human expert into a knowledge-base ...
Automatically acquiring knowledge in complex and possi-bly dynamic domains is an interesting, non-tr...
A method for using the advantages of domain-specific knowledge acquisition for a general purpose kno...
Abstract. The knowledge adquisition phase in Knowledge-based systems is still an important bottlenec...
To support the sharing and reusing of well-defined knowledge among knowledge management systems, it ...
A system which represents knowledge is normally referred to as a knowledge based system (KBS). This ...
In this paper we describe a system aimed at providing software support for the process of knowledge ...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
This thesis contains a study of state of the art knowledge acquisition modelling principles and meth...
International audienceA knowledge-intensive case-based reasoning system has profit of the domain kno...
International audienceA knowledge-intensive case-based reasoning system has profit of the domain know...
Building knowledge intensive Case-Based Reasoning applications requires tools that support this on-g...
Abstract. Knowledge-intensive CBR assumes that cases are enriched with general domain knowledge. In ...
This paper discusses and compares two different approaches to model-based knowledge acquisition. Tha...
Abstract. Building knowledge intensive Case-Based Reasoning applica-tions requires tools that suppor...
Knowledge Acquisition refers to the transfer of expertise from a human expert into a knowledge-base ...
Automatically acquiring knowledge in complex and possi-bly dynamic domains is an interesting, non-tr...
A method for using the advantages of domain-specific knowledge acquisition for a general purpose kno...
Abstract. The knowledge adquisition phase in Knowledge-based systems is still an important bottlenec...
To support the sharing and reusing of well-defined knowledge among knowledge management systems, it ...
A system which represents knowledge is normally referred to as a knowledge based system (KBS). This ...
In this paper we describe a system aimed at providing software support for the process of knowledge ...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...