Knowledge Classification Agent

This paper is about the knowledge classification agent. This system is a knowledge
management based that integrated the way of searching information via internet
using a search engine. The availability of a search engine especially in Malaysia is
not as efficient as it can be. Using a normal search engine, the search result is too
general and users usually get results which are not always suit their request. This
system will use an agent that work by grouping the result into related groups or
categories. Before producing the final results to the user, this system will categorize
the result into common type of keyword, say, user searching a keyword 'beetles' this
agent will group it into groups such beetles for cars, beetles for insects and beetles
for music band. The target users of the system are people that use the internet as an
information resource such as academicians and researchers. Useful information that
had been classified needed by users in order to choose the best information is
identify as the main problems that trigger the project. The objectives of the project
are to develop classified results into related groups for users so that users can find
the requested information efficiently as well as save users time. Author had planned
to use a spiral model as a methodology. Author believes that by using this system,
the problems that stated above can be solved.