Acquiring Procedural Knowledge Historical Text

This paper proposes four models to manually acquire procedural and declarative knowledge based on procedural and declarative knowledge acquisition language (PDKAL). The method of transforming PDKAL to object language (OL) is also introduced for inference in the acquired knowledge base. Preliminary experiments show that the four models are this method is relatively easy to use and can improve the productivity of human knowledge engineers dramatically. Moreover, the acquired knowledge is more accurate compared with those obtained using the "frame-slot" method.