Mashup for knowledge sharing paradigm: A case study in undergraduate industrial internship training programme

It is an uphill task for students to decide which internship offer to accept because of lack of knowledge about the potential company and the unavailability of information about the job offers. In this paper, Mashup for Internship Placement (MIP) system for undergraduate students is proposed to integrate disparate data from multiple sources using Yahoo Pipes. The objectives of the paper are two-fold: (1) To investigate mashup as a new paradigm for knowledge sharing and (2) To develop a prototype system that incorporates features which allow user to view the location and information about the company that offers internship placement in Kuala Lumpur. Preliminary results show that the MIP prototype system is a useful Web 2.0 application in assisting users of making just-in-time decision.