Extracting Topic Maps from Web Pages

We propose a framework to extract topic maps from a set of Web pages. We use the clustering method with the Web pages and extract the topic map prototypes. We introduced the follwing two points to the existing clustering method: The relevance is based on the types of links with directories in Web sites structure and the distance between the directories in which the pages are located. We generate the topic map prototypes from the results of the clustering. Finally, users complete the prototype by labeing the topics and associations and removing the unnecessary items. For this paper, at the first step, we mounted the proposed clustering method and extracted the prototype with the method.