Yahoo!Search and Web API Utilized Mashup based e-Leaning Content Search Engine for Mobile Learning

Abstract

 Mashup based content search engine for mobile devices is proposed. Mashup technology is defined as search engine with plural different APIs. Mash-up has not only the plural APIs, but also the following specific features, (1) it enables classifications of the contents in concern by using web 2.0, (2) it may use API from the different sites, (3) it allows information retrievals from both sides of client and server, (4) it may search contents as an arbitrary structured hybrid content which is mixed content formed with the individual content from the different sites, (5) it enabling to utilize REST, RSS, Atom, etc. which are formed from XML conversions. The mash-up should be a flexible search engine for any purposes of content retrievals. The proposed search system allows 3D space display of search menus with these peculiarities on Android devices. The proposed search system featuring Yahoo!search BOSS and Web API is also applied for e-learning content retrievals. It is confirmed that the system can be used for search a variety of e-learning content in concern efficiently.

Authors and Affiliations

Kohei Arai

Keywords

Related Articles

 Method for Car in Dangerous Action Detection by Means of Wavelet Multi Resolution Analysis Based on Appropriate Support Length of Base Function

 Multi-Resolution Analysis: MRA based on the mother wavelet function with which support length differs from the image of the automobile rear under run is performed, and the run characteristic of a car is searched fo...

Prediction Method for Time Series of Imagery Data in Eigen Space

Prediction method for time series of imagery data on eigen space is proposed. Although the conventional prediction method is defined on the real world space and time domains, the proposed method is defined on eigen space...

The Need for a New Data Processing Interface for Digital Forensic Examination

Digital forensic science provides tools, techniques and scientifically proven methods that can be used to acquire and analyze digital evidence. There is a need for law enforcement agencies, government and private organis...

 Relation between Rice Crop Quality (Protein Content) and Fertilizer Amount as Well as Rice Stump Density Derived from Helicopter Data

 Relation between protein content in rice crops and fertilizer amount as well as rice stump density is clarified with a multi-spectral camera data mounted on a radio-wave controlled helicopter. Estimation of protein...

 Comparison of Classifiers and Statistical Analysis for EEG Signals Used in Brain Computer Interface Motor Task Paradigm

 Using the EEG Motor Movement/Imagery database there is proposed an off-line analysis for a brain computer interface (BCI) paradigm. The purpose of the quantitative research is to compare classifiers in order to det...

Download PDF file
  • EP ID EP95124
  • DOI 10.14569/IJARAI.2015.040601
  • Views 145
  • Downloads 0

How To Cite

Kohei Arai (2015).  Yahoo!Search and Web API Utilized Mashup based e-Leaning Content Search Engine for Mobile Learning. International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(6), 1-7. https://europub.co.uk/articles/-A-95124