Web Content Bookmarking Tool with Automatically Generated Titles

Abstract

With the development of technology, it has become essential to use the World Wide Web (WWW) for many day to day life activities. Whenever we navigate in the web, we are used to bookmark the most important and useful web pages so that those pages can be accessed later easily. But it is commonly noted that depending on the interests and relevant subject fields of a particular web user, the most useful focus can be on a specific part of a web page rather than the whole page. Therefore, the intention of this research is to introduce an efficient and novel method to bookmark all the specific contents or small part of text in each web page stored in one location corresponding to the interests of every individual web user. The most outstanding feature is that each bookmarked content will be well organized by the system suggested meaningful titles. To accomplish this task, key phrase extraction method which incorporates computational intelligence and web technologies is employed.