Abstract
With the huge amount of data on the Web, looking for desired information can be a time-consuming task. Wikipedia is a helpful tool because it is the largest, most-popular general reference site on the Internet. Most search engines rank Wikipedia pages among the top listed results. However, because many articles on Wikipedia are manually updated by users, several articles lack information and must be upgraded. That necessary information for updates can sometimes be found on the Web. Uprooting this information from the Web involves a time-consuming process of reading, analyzing and summarizing the information for the user. To support the user search process and to help Wikipedia contributors in the updating process of articles, we propose a method of finding valuable complementary information related to the Web. Experiments showed that our method was quite effective in retrieving important complementary information from Web pages.
