Information acquisition over the Internet has become popular recently. Users, however, have difficulty in understanding the overall concept resulting from the searched information about a specific topic of their interests in the Internet. Moreover, such pieces of information keep changing over time. Therefore, in this thesis, an approach is proposed to help users further realize the searched results of their interested topic, and detect implications of the information changes over time. The first part of this approach is to gather information of a user-specified topic and analyze the overall meaning and the relations represented by those pieces of information. In this manner, users can gain the general concept of what the search results indicate. Here the keyword extraction approach, called RCBKE, is proposed to identify keywords with their relationships. Evaluations are performed and the results show that RCBKE can discover representative keywords. The second part is to track and investigate the information change of the topic in a certain time period. As a result, users can easily recognize the change patterns of the specified topic. An example to illustrate our approach is shown accordingly. The feasibility of our proposed approach is then justified.