Abstract:
Every IT professional has at one point or another in their lives wondered about what career paths are available to them to follow. Unfortunately, there are very few resources available about this critical question, and none of those available are satisfactorily comprehensive. In this dissertation, a whole approach is presented. The objective is to gather information about the most important IT career paths, and creating a training CD that can be used to inform the user about different occupations available within the IT field.
The concept of Rhetorical Structure Theory (RST) is used which is a method for describing natural texts, characterizing their structure primarily in terms of relations that hold between parts of the text. It makes different trees and based on that, it profiles user‘s visits and personalizes the information and creates content dynamically. Determining a workable methodology for this research was quite challenging, as very little precursor research exists on the generation of text dynamically through RST Trees.
A Marcu Parser was used for the parsing of documents and the generation of trees and technique. The labeling technique was followed in which each field of each specific job was labeled with a particular starting and ending tag. The information from those tags was extracted depending upon the query and then the valid and required content was further extracted from the remaining RST tree likewise and then text was generated dynamically based on those trees and personalization methodology done for them.
