Abstract:
World Wide Web is a growing sea of information accessible to different kind of user. One of the problems that caused by the rapid growth of the Web, which is called information overloading because WWW becomes to grow into a large million of web pages, users of WWW face with information overload. Users cannot read every web page posted in a web site because of the high volumes nature of a web site. Web Page Summarization is one of the effective ways to alleviate the information overload problem. Web page summary can help users get an idea of browsing time .This paper develops an automatic web page summarization system using text summarization theory found in information retrieval. Web page summarization has become an important application recently due to the increasing amount of information available on the Internet. However, to generate summaries as coherent as human authored summaries are a great challenge. Web document summarization techniques are derived from traditional text summarization techniques.
