Smart web content bookmarking with ANN based key phrase extraction algorithm

This paper introduces a smart web content bookmarking tool which gives the ability of bookmarking only a selected text other than bookmarking whole pages and keeping a set of links relevant to those pages for later reference. This novel concept helps to collect most important text and paragraphs into one place for the ease of use. The major component of this research is the use of an artificial neural network (ANN) with author identified parameters especially applicable in the domain of small textual contents to extract the key idea of the selected text and to organize bookmarked contents under this system suggested meaningful names. Key phrases are an important mean of document summarization and the manual assignment of key phrases to documents is very laborious. The purpose of this neural network approach is to automate this extraction process and bookmark a selected paragraph with extracted key idea using the developed key phrase extraction method with artificial intelligence. The front end of Smart Web Content Bookmark is developed as a browser extension so that the web users can extend their browsers with it to experience the efficient and meaningful bookmarking method in web.