The Q&A service of the official Korea Astronomy and Space Science Institute (KASI) webpage was installed in 2000 and have been actively used since then. In this paper, we analyze the questions asked through the Q&A service and the number of inquiries with the aid of statistical methods. We also study the contents of the questions. Specifically, we have created statistics of questions and inquiries that go monthly and yearly, and have developed categories to analyze the characteristics of questions in regards to their cognitive aspects. Each question is categorized into two elements based on their recognitive aspect: science knowledge or science study. Each element also has sub-categories that help readers understand the characteristics of the questions. For the analysis, we used a sample consisted of questions from July to December, 2004. Through this study, we achieved a better understanding of the questions asked by the Q&A service. We are planning to improve the quality of the Q&A service by extending the size of the FAQ(frequently asked questions). Throughout this study, we find that the number of questions are increasing with time, and the overall quality of the questions is improving. As we expect the number of people using our Q&A service to increase and the questions to get more difficult to answer, development of improved content is required.