Opportunities for AI in Intelligent Web-based Technology-Supported Learning

被引：0
作者：
Ullrich, Carsten [1 ]
Wang, Jian [1 ]
Shen, Ruimin [1 ]
Quosdorf, Frank [2 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200030, Peoples R China
[2] Totuba Inc, Shanghai, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL IV, PROCEEDINGS | 2009年
基金：
中国国家自然科学基金;
关键词：
SEMANTIC WEB;
D O I：
10.1109/AICI.2009.69
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Web is still changing at a rapid rate. Principles that define the Web 2.0 are now better understood than a few years ago, but continue to evolve. The Semantic Web is coming of age, resulting, for instance, in a significant amount of data now being available as Linked Open Data. Advanced Web services make sophisticated functionality such as entity extraction and location-data available for free. Against this background, we feel that the potential of today's Web for intelligent technology-supported learning is under-exploited. Especially for AI exciting research opportunities arise from building on top of available data and services. In this paper, we sketch the current state of the art of Web data and services, highlight potential future development and point out opportunities and challenges for Web-based technology-supported learning.
引用
收藏
页码：510 / +
页数：2
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