文章基本信息

标题：MIP: Mashup for Industrial Internship Placement
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作者：Foong, Oi-Mean ; Kasbon, Rozana ; Yong, Suet-Peng 等
期刊名称：Journal of Computers
印刷版ISSN：1796-203X
出版年度：2014
卷号：9
期号：2
页码：447-453
DOI：10.4304/jcp.9.2.447-453
语种：English
出版社：Academy Publisher
摘要：In this paper, Mashup for Internship Placement (MIP) system for undergraduate students is presented. One of the problems in Student Industrial Internship Unit is the lack of proper channel for information sharing among the internship students during or after the training. Thus, it is a challenge for students to decide which internship offer to accept due to lack of knowledge about the potential company and the unavailability of information about the job offered. The MIP system for undergraduate students is proposed to integrate disparate data from multiple sources using Yahoo Pipes. The objectives of this research are two-fold: (1) To investigate mashup as a new paradigm for information visualization and (2) To develop a prototype system that incorporates features for user to view the location and information about the company that offers internship placement in Kuala Lumpur, Malaysia. Rapid Prototyping methodology and Yahoo Pipes were used in the design of the MIP system. Data from Google Maps and host company’s details were extracted using Fetch Feed widget in Yahoo Pipes and integrated with the RSS feed to display search results on interactive map. Preliminary results show that the MIP prototype system is a useful Web 2.0 application for assisting users in making just-in-time decision.
关键词：mashup;information sharing;internship placement;new paradigm;decision making