MASHUP FOR INTERNSHIP PLACEMENT (MlP)

Mashup, a web application that integrates data from multiple data sources or APis to provide unique services. In this project Mashup for Internship Placement (MIP), involves solving multiple problems such as extracting data from multiple sources, cleaning it, and integrate it together. In the case study presented in this paper, Mashup has been applied as one of the pattern for knowledge sharing. The problem statement for this research paper is there is difficulties for student to decide which internship offer to accept because they lack of knowledge about the company and the job description. The objective of the research are to investigate Mashup pattern for knowledge sharing system and to develop a prototype system that incorporate features that allow user to view the location and information about the company which offer the internship placement. The methodology used to create Mashup system is Prototyping based methodology and Yahoo Pipes as the platform. Data from Google Maps is extract using Fetch Feed widget in Yahoo Pipes and integrate the feeds with Yahoo Pipes to show result on interactive map rather than traditional list. MIP contains information about company that offers internship placement with the location view on the map. This Mashup also can help student to be focus on the decision making for their internship placement as they may get all information gathered in one application

MASHUP FOR INTERNSHIP PLACEMENT (MlP)

Mashup, a web application that integrates data from multiple data sources or APis to provide unique services. In this project Mashup for Internship Placement (MIP), involves solving multiple problems such as extracting data from multiple sources, cleaning it, and integrate it together. In the case study presented in this paper, Mashup has been applied as one of the pattern for knowledge sharing. The problem statement for this research paper is there is difficulties for student to decide which internship offer to accept because they lack of knowledge about the company and the job description. The objective of the research are to investigate Mashup pattern for knowledge sharing system and to develop a prototype system that incorporate features that allow user to view the location and information about the company which offer the internship placement. The methodology used to create Mashup system is Prototyping based methodology and Yahoo Pipes as the platform. Data from Google Maps is extract using Fetch Feed widget in Yahoo Pipes and integrate the feeds with Yahoo Pipes to show result on interactive map rather than traditional list. MIP contains information about company that offers internship placement with the location view on the map. This Mashup also can help student to be focus on the decision making for their internship placement as they may get all information gathered in one application