Title :
Opportunities for AI in Intelligent Web-Based Technology-Supported Learning
Author :
Ullrich, Carsten ; Wang, Jian ; Shen, Ruimin ; Quosdorf, Frank
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiaotong Univ., Shanghai, China
Abstract :
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.
Keywords :
Web services; artificial intelligence; computer aided instruction; semantic Web; Web 2.0; Web services; artificial intelligence; intelligent Web-based technology-supported learning; linked open data; semantic Web; Artificial intelligence; Assembly; Competitive intelligence; Computational and artificial intelligence; Computational intelligence; Computer architecture; Computer science; Learning; Semantic Web; Web services; mash-up; semantic web; technology-supported learning; web 2.0;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.69
