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  1. University of Information Technology
  2. Faculty of Information Science

Extraction of Reliable Information from the Web

http://hdl.handle.net/20.500.12678/0000005343
http://hdl.handle.net/20.500.12678/0000005343
4507e35d-950e-480d-a4f7-f4edb8cb09e2
45c8d427-943e-42a6-8d16-53837dfb39a6
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Extraction Extraction of Reliable Information from the Web.pdf (691 Kb)
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Publication type
Conference paper
Upload type
Publication
Title
Title Extraction of Reliable Information from the Web
Language en
Publication date 2010-12-16
Authors
Cherry Soe
Thandar Lwin
Description
Information extraction is one of the methods
to retrieve information from complex web pages. With
the use of multiple algorithms, intelligence,
knowledge base, knowledge acquisition and filtering,
people nowadays can benefited with the use of
information extraction. Such application has been
applied in several dimensions, such as new
transcripts, insurance in formation, and weather
reports. This proposed system extracts required
laptop data from relevant web pages and convert
them into a standard database. This paper uses
STALKER algorithm to generate the rules for
extracting the laptop information. The extract ed data
are matched and recognized with built in keyword
and entity tables using Named Entity Recognition
(NER). And then, the system produces the required
extracted information. By using this system, the user
can get the meaningful laptop information and it also
provides the user with easy access and time saving.
Keywords
Information Extraction, Named Entity Recognition, Web mining
Conference papers
PSC
16 December, 2010
FIFTH LOCAL CONFERENCE ON PARALLEL AND SOFT COMPUTING
University of Computer Studies, Yangon, Myanmar
https://www.ucsy.edu.mm/FifthPSC.do
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