Towards Maximum Spanning Tree Model in Web 3.0 Design and Development for Students using Discriminant Analysis

TL;DR

This paper proposes a Maximum Spanning Tree model combined with Discriminant Analysis to identify key requirements for students in Web 3.0 application development, aiming to bridge the gap between design and student needs.

Contribution

It introduces a novel application of Maximum Spanning Tree modeling with Discriminant Analysis to capture student requirements for Web 3.0 applications.

Findings

Key attributes for student-focused Web 3.0 applications identified

Model facilitates targeted design and development strategies

Highlights importance of intelligent web technologies for students

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. Keywords : Web 3.0, Discriminant analysis, Design and Development, Model, Maximum Spanning Tree 1.