Gravizor: A Graphical Tool for the Visualization of Web Search Engines Results with Multi-Agent Based Modeling

Gravizor: A Graphical Tool for the Visualization of Web Search Engines Results with Multi-Agent Based Modeling

Abdelkrim Bouramoul (Constantine 2 University, Department of Fundamental Computer Science and Its Applications, Constantine, Algeria)
Copyright: © 2017 |Pages: 20
DOI: 10.4018/IJIIT.2017070103

Abstract

Users of Web search engines are generally confronted to numerous responses that are rarely structured, making it difficult to analyze the available results. Indeed, the linear results displayed through lists ordered according to a relevance criterion, although still widely used, seem often limitless. A solution to this problem is to improve the interfaces for better visualization of large number of results. In this paper, we propose modeling and implementation of a tool for graphical visualization and manipulation of results returned by search engines. The goal is to facilitate the analysis, the interpretation and the supervision of users' information needs. The architecture of the ‘Gravisor' tool is based on Multi-Agent paradigm. It is composed of four agents working in full cooperation and coordination. We hope that besides the web information retrieval field, the three graphical visualization modes offered by the ‘Gravisor' tool will be a promising alternative for better information visualization in other areas.
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Principles, Techniques, And Tools For Information Visualization

We present in this section a synthesis giving an overall view of the information visualization field: its definition, its categories and criteria for the classification of the visualization system. We then present the different techniques of information visualization such as maps, trees and graphs. Finally, we describe the best known results visualization tools currently available on the web according to an appropriate classification.

Indeed, the domain of visualization techniques is a very rich area; different techniques can be applied according to the purpose and properties of the data itself. Similarly, several important factors related to ergonomics are also to be taken into account in choosing a visualization technique. Generally, a suitable visualization technique must, to the extent possible, meet the following requirements (Bouthier, 2004):

  • 1.

    Have a global view: allows getting an idea of all the data;

  • 2.

    Zoom: allows to access, in context, to a specific data;

  • 3.

    Have a detailed view: allows access to all the details of a specific data;

  • 4.

    See relationships: allows focusing on the relationships between the data and not regarding the data itself.

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