Constructing a Facet-Based and Personalized Just-in-Time Web Information Recommendation Application in a Multi-agent Environment

2009 ◽  
Author(s):  
Kun Yang ◽  
Zhongzhi Shi
Keyword(s):  
Just In Time ◽  
Web Information ◽  
Multi Agent ◽  
Information Recommendation

Handling linguistic web information based on a multi-agent system

2007 ◽  
Vol 22 (5) ◽  
pp. 435-453 ◽  
Author(s):  
Zheng Pei ◽  
Da Ruan ◽  
Yang Xu ◽  
Jun Liu
Keyword(s):  
Multi Agent System ◽  
Agent System ◽  
Web Information ◽  
Multi Agent

scholarly journals Implementation of data frame work system based on model driven architecture for MAS and Web based applications

2018 ◽  
Vol 7 (2.20) ◽  
pp. 1
Author(s):  
Rajasekhar Nennuri ◽  
Atmakuri Krishna Chaitanya ◽  
Lakshmi Prasanthi Malyala
Keyword(s):  
Structural Engineering ◽  
Multi Agent Systems ◽  
Model Driven Architecture ◽  
Information Mining ◽  
Web Based ◽  
Organization Model ◽  
Model Driven ◽  
Web Information ◽  
Multi Agent ◽  
Frame Work

To utilize those Incomprehensible measures from claiming data effectively on the Web to make the data transforming intelligent, customize Furthermore programmed will be those A large portion vital requisitions of the present information mining innovation organization. Model driven Architecture (MDA) which will be utilized for code era need huge numbers profits In conventional product improvement routines. In this paper, Web information mining transform is acquainted from the see for function, a canny mining framework from claiming data is based for joining together those information mining. The idea of Web information mining is presented the place the part of MDA may be characterized. MDA utilizing J2EE (Java to Enterprise Edition) on portray conduct about operators need aid utilized within this suggested structural engineering. Struts skeleton gives a standard to Creating MAS (multi-agent systems) and Web based requisitions  

Gravizor

2017 ◽  
Vol 13 (3) ◽  
pp. 37-56 ◽  
Author(s):  
Abdelkrim Bouramoul
Keyword(s):  
Information Visualization ◽  
Search Engines ◽  
Information Needs ◽  
Web Search ◽  
Web Information Retrieval ◽  
Promising Alternative ◽  
Web Information ◽  
Graphical Visualization ◽  
Relevance Criterion ◽  
Multi Agent

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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