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.

scholarly journals Intelligent information retrieval from the World Wide Web using fuzzy user modelling.

2013 ◽  
Vol 21 (67) ◽  
pp. 24-28
Author(s):  
Gary Mooney
Keyword(s):  
Information Retrieval ◽  
World Wide Web ◽  
Information Needs ◽  
World Wide ◽  
The World ◽  
Other Information ◽  
Nature Of Information ◽  
Intelligent Information ◽  
Available Information ◽  
Academic Resources

The ever-changing nature of information sources, coupled with the increased demand on dwindling academic resources, led librarians and other information professionals to recognise the need for information retrieval (IR) systems that can incorporate the expertise of the information professional and gather knowledge about the user's experiences and preferences (Werckert & Cooper, 1989). The explosion of available information resources brought about by the development of the Internet and the World-Wide Web (WWW) has strengthened this need. The goal is to produce an 'intelligent' IR system which would work with the user to satisfy their information needs, so the application of Artificial lntelligence (AI) techniques seems a likely approach to the problem (Morris, 1990).

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.

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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