A Web Knowledge Discovery Engine Based on Concept Algebra

On-line knowledge discovery is an important area of knowledge engineering. This paper develops a visualized concept network explorer and a semantic analyzer to locate, capture, and refine queries based on concept algebra. A graphical interface is built using concept and semantic models to refine users' query structures. This tool kit can generate a structured XML query package that accurately express users' information needs for on-line searching and knowledge acquisition.