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.
