Creating a Web Analysis and Visualization Environment

TL;DR

WAVE is a 3D web information visualization tool that uses concept analysis to cluster and categorize web documents, providing an intuitive interface for exploring large web data collections.

Contribution

The paper introduces WAVE, a novel 3D visualization environment that employs concept analysis for automatic classification and visualization of web information.

Findings

Effective clustering of web documents using concept analysis.

Enhanced user exploration through 3D visualization interface.

Automatic categorization based on conceptual scales.

Abstract

Due to the rapid growth of the World Wide Web, resource discovery becomes an increasing problem. As an answer to the demand for information management, a third generation of World-Wide Web tools will evolve: information gathering and processing agents. This paper describes WAVE (Web Analysis and Visualization Environment), a 3D interface for World-Wide Web information visualization and browsing. It uses the mathematical theory of concept analysis to conceptually cluster objects, and to create a three-dimensional layout of information nodes. So-called "conceptual scales" for attributes, such as location, title, keywords, topic, size, or modification time, provide a formal mechanism that automatically classifies and categorizes documents, creating a conceptual information space. A visualization shell serves as an ergonomically sound user interface for exploring this information space.