Web-based Intelligent Query System

The article analyses the flaws in the tranditional CBR system firstly, and brings forward a new approach and arithmetic of CBR system. That is dividing the case-base into urser-base and application-base, every time when search the case-base, we can search the corresponding case-base according the users, which can faster speed of searching.The basic and difficult problem is the definement or measurement of the similitude between two cases. The tranditional CBR system always adopts the methods of nearest learning> induction indexing and knowledge inducting, thses three methods adapt to the case-searching of qualitative cases. This article introduces semantic distance to depict the similitude of the corresponding attribute between two similar cases, and adopt the dark priority-ratio to get the sequence of the similitude between the new problem and the old cases. This arithmetic of similitude adopts mathematic model, which can work out the extra sequence of similitude.Finally, in order to realize the reuse of software, I make use of some results of some projects developed in our laboratory to develop a real application system.