The success of a commercial company depends greatly on the success of its website. A successful website is the well-designed website. The website is well-designed from the user?s point of view if it contains services that satisfy user?s needs, if the user navigation is simplified, and if he can reach his target page in a short time without the need to make any search or to guess where his target page could be found. On the other hand, from the website?s owner?s point of view, a website is well-designed if it participates in increasing the company?s overall profit, if it increases the user?s trust in the company and its products, and participates in making promotions for the company. Therefore, it is important to have a well-designed website. In our approach, we argue that we can help the website designer to improve the design structure of the website by giving him some information about the company?s information system, its elements, and the relationships between different attributes of the information system that when considered in the design phase of the website will have a good effect in improving the website design structure. That information cannot be extracted directly from the company?s information system, and does not exist as records or fields. That information can be extracted by applying different data mining techniques on that information system.