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The World Wide Web has become an invaluable information resource but the explosion of information available via the web has made web search a time consuming and complex process. Index-based search engines, such as AltaVista, Google or Info seek help, but they are not enough. This paper describes the rationale, architecture, and implementation of a next generation information gathering system -a system that integrates several areas of Artificial Intelligence (AI) research under a single umbrella. Our solution to the information explosion is an information gathering agent, IIR, that plans to gather information to support a decision process, reasons about the resource trade-offs of different possible gathering approaches, extracts information from both unstructured and structured documents, and uses the extracted information to refine its search and processing activities.
Dr. Ayushi Gupta, Divya Verma, Kajal Gambhir. 2012. "Intelligent Information Retrieval". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 12 (GJCST Volume 12 Issue C12).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 148
Country: India
Subject: Global Journal of Computer Science and Technology
Authors: Dr. Ayushi Gupta, Divya Verma, Kajal Gambhir (PhD/Dr. count: 1)
View Count (all-time): 432
Total Views (Real + Logic): 4120
Total Downloads (simulated): 192
Publish Date: 2012 01, Sun
Monthly Totals (Real + Logic):
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