Multi-agent System for Documents Retrieval and Evaluation Using Fuzzy Inference Systems

2015 ◽  
Vol 5 (4) ◽  
pp. 158
Author(s):  
Galina Ivanova ◽  
Ark Andreev ◽  
Marwa A. Shouman
Keyword(s):  
World Wide Web ◽  
Fuzzy Inference System ◽  
World Wide ◽  
Fuzzy Inference ◽  
System Development ◽  
Multi Agent System ◽  
Agent System ◽  
Inference System ◽  
The World ◽  
Multi Agent

Recently the World Wide Web are packed with huge quantities of information. From this view the user finds it difficult to get the relevant informations due to the increased of their quantities. This paper uses multi-agent system uses intelligent agent in order to retrieval documents from the World Wide Web. The user by this system can easily get the relevant documents which to need them.Multi-agent System is combined with fuzzy inference system for ranking documents. The documents ranking score by cosine similarity using fuzzy inference system development and implemented much simpler than the traditional method which require mathematical equations.

scholarly journals Geographic Information Retrieval and the World Wide Web: A Match Made in Electronic Space

1997 ◽  
pp. 13-26 ◽  
Author(s):  
David Johnson ◽  
Myke Gluck
Keyword(s):  
Information Retrieval ◽  
World Wide Web ◽  
Information Needs ◽  
World Wide ◽  
Data Retrieval ◽  
Query Languages ◽  
Geographic Information ◽  
Geographic Information Retrieval ◽  
Retrieval Systems ◽  
The World

This article looks at the access to geographic information through a review of information science theory and its application to the WWW. The two most common retrieval systems are information and data retrieval. A retrieval system has seven elements: retrieval models, indexing, match and retrieval, relevance, order, query languages and query specification. The goal of information retrieval is to match the user's needs to the information that is in the system. Retrieval of geographic information is a combination of both information and data retrieval. Aids to effective retrieval of geographic information are: query languages that employ icons and natural language, automatic indexing of geographic information, and standardization of geographic information. One area that has seen an explosion of geographic information retrieval systems (GIR's) is the World Wide Web (WWW). The final section of this article discusses how seven WWW GIR's solve the the problem of matching the user's information needs to the information in the system.

Challenges and Issues in Web-Based Information Retrieval System

2017 ◽  
pp. 176-194
Author(s):  
Sathiyamoorthi V.
Keyword(s):  
Information Retrieval ◽  
World Wide Web ◽  
Information Sharing ◽  
World Wide ◽  
Information Retrieval System ◽  
The Internet ◽  
Web Based ◽  
Average Speed ◽  
Great Demand ◽  
The World

It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months! In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. Internet is one such technology that plays a major role in simplifying the information sharing and retrieval. World Wide Web (WWW) is one such service provided by the Internet. It acts as a medium for sharing of information. As a result, millions of applications run on the Internet and cause increased network traffic and put a great demand on the available network infrastructure.

Using Semantic Web Concepts to Retrieve Specific Domain Information from the Web

2011 ◽  
pp. 249-270
Author(s):  
Rafael Cunha Cardoso ◽  
Fernando da Fonseca de Souza ◽  
Ana Carolina Salgado
Keyword(s):  
Information Retrieval ◽  
World Wide Web ◽  
Semantic Web ◽  
Web Sites ◽  
World Wide ◽  
Specific Domain ◽  
New Concepts ◽  
The World ◽  
Domain Information ◽  
The Web

Currently, systems dedicated to information retrieval/extraction perform an important role on fetching relevant and qualified information from the World Wide Web (WWW). The Semantic Web can be described as the Web’s future once it introduces a set of new concepts and tools. For instance, ontology is used to insert knowledge into contents of the current WWW to give meaning to such contents. This allows software agents to better understand the Web’s content meaning so that such agents can execute more complex and useful tasks to users. This work introduces an architecture that uses some Semantic Web concepts allied to Regular Expressions (REGEX) in order to develop a system that retrieves/extracts specific domain information from the Web. A prototype, based on such architecture, was developed to find information about offers announced on supermarkets Web sites.

SWAMI

2009 ◽  
Vol 4 (3) ◽  
pp. 1-24
Author(s):  
Mark Kilfoil ◽  
Ali Ghorbani
Keyword(s):  
World Wide ◽  
Preliminary Evaluation ◽  
Multi Agent System ◽  
End User ◽  
Look Ahead ◽  
The World ◽  
Multi Agent ◽  
Active Nature ◽  
Intelligent Tools ◽  
The Web

The rapid growth of the World Wide Web has complicated the process of Web browsing by providing an overwhelming wealth of choices for the end user. To alleviate this burden, intelligent tools can do much of the drudge-work of looking ahead, searching and performing a preliminary evaluation of the end pages on the user’s behalf, anticipating the user’s needs and providing the user with more information with which to make fewer, more informed decisions. However, to accomplish this task, the tools need some form of representation of the interests of the user. This article describes the SWAMI system: SWAMI stands for Searching the Web with Agents having Mobility and Intelligence. SWAMI is a prototype that uses a multi-agent system to represent the interests of a user dynamically, and take advantage of the active nature of agents to provide a platform for look-ahead evaluation, page searching, and link swapping. The collection of agents is organized hierarchically according to the apparent interests of the user, which are discovered on-the-fly through multistage clustering. Results from initial testing show that such a system is able to follow the multiple changing interests of a user accurately, and that it is capable of acting fruitfully on these interests to provide a user with useful navigational suggestions.

African Web Portals

2011 ◽  
pp. 41-46 ◽  
Author(s):  
Esharenana E. Adomi
Keyword(s):  
Information Retrieval ◽  
World Wide Web ◽  
Rapid Growth ◽  
World Wide ◽  
Web Search ◽  
Information Age ◽  
Web Portals ◽  
The Past ◽  
The World ◽  
The Web

The World Wide Web (WWW) has led to the advent of the information age. With increased demand for information from various quarters, the Web has turned out to be a veritable resource. Web surfers in the early days were frustrated by the delay in finding the information they needed. The first major leap for information retrieval came from the deployment of Web search engines such as Lycos, Excite, AltaVista, etc. The rapid growth in the popularity of the Web during the past few years has led to a precipitous pronouncement of death for the online services that preceded the Web in the wired world.

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