Career guidance: a semantic web approach

Abstract

Choosing a career is one of the major decisions that are taken during the life span of a human. Its impact on the person and on the society is definite. Career information is the most essential input to the career decision making process. This information should be complete and well structured for successful decision making. The World Wide Web is the single most large information source which contains career information. However, this information is scattered throughout it with no real structure. Semantic Web has emerged as a feasible solution for centralizing and structuring data. Therefore, this research aims at designing and creating a Semantic Web Application that can collect and organize career information effectively and efficiently. The application simply collects data, published in RDF/XML format, shared by various entities. The resulting RDF store is then queried using the SPARQL query language. The career ontology presented in the research paper is used to model the information portal and is a vital part of it. Researcher also stresses on how important the inference mechanism is for the Semantic Web application in organizing the content logically.