Article
المجلة العلمية :
International Journal of Intelligent Information Technologies (IJIIT)
ISSN : 1548-3657
الناشر :
معلومات
السنة : 2017
المجلد : 13 العدد : 3
الصفحات : 37-56
التفاصيل
Gravizor: A Graphical Tool for the Visualization of Web Search Engines Results with Multi-Agent Based Modeling
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.
مرجع الإقتباس :
misc-lab-205
DOI :
10.4018/IJIIT.2017070103
الرابط :
Texte intégral
ACM :
A. Bouramoul. 2017. Gravizor: A Graphical Tool for the Visualization of Web Search Engines Results with Multi-Agent Based Modeling. International Journal of Intelligent Information Technologies (IJIIT), 13, 3, IGI Global, 37-56. DOI: https://doi.org/10.4018/IJIIT.2017070103.
APA :
Bouramoul, A. (2017). Gravizor: A Graphical Tool for the Visualization of Web Search Engines Results with Multi-Agent Based Modeling. International Journal of Intelligent Information Technologies (IJIIT), 13(3), IGI Global, 37-56. DOI: https://doi.org/10.4018/IJIIT.2017070103
IEEE :
A. Bouramoul, "Gravizor: A Graphical Tool for the Visualization of Web Search Engines Results with Multi-Agent Based Modeling". International Journal of Intelligent Information Technologies (IJIIT), vol. 13, no. 3, IGI Global, pp. 37-56, 2017. DOI: https://doi.org/10.4018/IJIIT.2017070103.
BibTeX :
@article{misc-lab-205,
author = {Bouramoul, Abdelkrim},
title = {Gravizor: A Graphical Tool for the Visualization of Web Search Engines Results with Multi-Agent Based Modeling},
journal = {International Journal of Intelligent Information Technologies (IJIIT)},
volume = {13},
number = {3},
issn = {1548-3657},
pages = {37--56},
publisher = {IGI Global},
year = {2017},
doi = {10.4018/IJIIT.2017070103},
url = {https://doi.org/10.4018/IJIIT.2017070103}
}
RIS :
TI  - Gravizor: A Graphical Tool for the Visualization of Web Search Engines Results with Multi-Agent Based Modeling
AU - A. Bouramoul
PY - 2017
SN - 1548-3657
JO - International Journal of Intelligent Information Technologies (IJIIT)
VL - 13
IS - 3
SP - 37
EP - 56
PB - IGI Global
AB - 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.
DO - 10.4018/IJIIT.2017070103
UR - https://doi.org/10.4018/IJIIT.2017070103
ID - misc-lab-205
ER -