Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJARAI.2013.020506
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 5, 2013.
Abstract: Mashup based content search engine for mobile devices is proposed. Example of the proposed search engine is implemented with Yahoo!JAPAN Web SearchAPI, Yahoo!JAPAN Image searchAPI, YouTube Data API, and Amazon Product Advertising API. The retrieved results are also merged and linked each other. Therefore, the different types of contents can be referred once an e-learning content is retrieved. The implemented search engine is evaluated with 20 students. The results show usefulness and effectiveness on e-learning content searches with a variety of content types, image, document, pdf files, moving picture.
Kohei Arai, “Mashup Based Content Search Engine for Mobile Devices” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(5), 2013. http://dx.doi.org/10.14569/IJARAI.2013.020506