Intelligence for web content bookmarking and organization through key-phrase extraction

Abstract

Main focus of this research is to introduce the novel concept of web content bookmarking, by using a tool called iBookmark. What is meant by 'content bookmarking' in here is, the users of iBookmark tool can easily save the textual content found interesting on web, for later reference in a meaningfully named and organized hierarchical structure. In achieving this, the tool determines a phrase which is suited to label the user selected text by using a technique called 'Key Phrase Extraction'. Those labels are used to create the hierarchy. In brief, 'how to bookmark interesting web content?' is the research question addressed throughout this paper and the novel key phrase extraction mechanism proposed is part of the solution while rest being existing technologies. Throughout this paper, that key phrase extraction technique which is using Artificial Neural Networks is elaborated and it's the major research component in the endeavour to achieve the final goal of content bookmarking. As well, manual selection of key phrases is a human cognition related activity and this tool is automating that task. Hence it's called intelligent bookmarker, iBookmark. Further, this tool is targeting specific user categories such as scholars/researchers since the idea of building such a tool was emerged when thinking how fascinating if such a tool exists to help those specific user categories.