Author(s): S.Padma | Ananthi Seshasaayee
Journal: International Journal of Computer Science Issues
ISSN 1694-0784
Volume: 8;
Issue: 5;
Start page: 420;
Date: 2011;
Original page
Keywords: Web 3.0 | Discriminant analysis | Design and Development | Model | Maximum Spanning Tree | IJCSI
ABSTRACT
Web 3.0 is an evolving extension of the web 2.0 scenario. The perceptions regarding web 3.0 is different from person to person . Web 3.0 Architecture supports ubiquitous connectivity, network computing, open identity, intelligent web, distributed databases and intelligent applications . Some of the technologies which lead to the design and development of web 3.0 applications are Artificial intelligence, Automated reasoning, Cognitive architecture, Semantic web. An attempt is made to capture the requirements of Students inline with web 3.0 so as to bridge the gap between the design and development of web 3.0 applications and requirements among Students. Maximum Spanning Tree modeling of the requirements facilitate the identification of key areas and key attributes in the design and development of software products for Students in Web 3.0 using Discriminant analysis.
Journal: International Journal of Computer Science Issues
ISSN 1694-0784
Volume: 8;
Issue: 5;
Start page: 420;
Date: 2011;
Original page
Keywords: Web 3.0 | Discriminant analysis | Design and Development | Model | Maximum Spanning Tree | IJCSI
ABSTRACT
Web 3.0 is an evolving extension of the web 2.0 scenario. The perceptions regarding web 3.0 is different from person to person . Web 3.0 Architecture supports ubiquitous connectivity, network computing, open identity, intelligent web, distributed databases and intelligent applications . Some of the technologies which lead to the design and development of web 3.0 applications are Artificial intelligence, Automated reasoning, Cognitive architecture, Semantic web. An attempt is made to capture the requirements of Students inline with web 3.0 so as to bridge the gap between the design and development of web 3.0 applications and requirements among Students. Maximum Spanning Tree modeling of the requirements facilitate the identification of key areas and key attributes in the design and development of software products for Students in Web 3.0 using Discriminant analysis.
