Fuzzy Synthetic Evaluation on Form Mapping in Deep Web Integration

Nowadays the Web is being increasingly deepened by a large group of online databases. How to map a uniform query to corresponding online database exactly is a critical problem to integrate the deep Web databases in the same domain. The same attribute may have different ranges in different forms, which means mapping it becomes the bottle-neck to solve the form mapping problem. We use fuzzy synthetic evaluation to solve this problem. Firstly, we analyze the form mapping issue, point that the data range mapping is the key problem, and we transfer it to a fuzzy synthetic function problem and compute the membership function in different ranges. Then we use it to select the optimal mapping result. To validate its effectiveness we developed ldquoEasy Auto Searcherrdquo, an deep web integration system of auto, and conduct experiments. The result shows that it is effective.