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Survey of Information Retrieval Techniques for Web using NLP

by Rini John, Sharvari S. Govilkar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 135 - Number 8
Year of Publication: 2016
Authors: Rini John, Sharvari S. Govilkar
10.5120/ijca2016908429

Rini John, Sharvari S. Govilkar . Survey of Information Retrieval Techniques for Web using NLP. International Journal of Computer Applications. 135, 8 ( February 2016), 23-27. DOI=10.5120/ijca2016908429

@article{ 10.5120/ijca2016908429,
author = { Rini John, Sharvari S. Govilkar },
title = { Survey of Information Retrieval Techniques for Web using NLP },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 135 },
number = { 8 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 23-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume135/number8/24071-2016908429/ },
doi = { 10.5120/ijca2016908429 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:35:14.970755+05:30
%A Rini John
%A Sharvari S. Govilkar
%T Survey of Information Retrieval Techniques for Web using NLP
%J International Journal of Computer Applications
%@ 0975-8887
%V 135
%N 8
%P 23-27
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Web is loaded with information and is getting overloaded with data each passing day. There needs to be efficient development in the area of information retrieval so the required data can be fetched accurately and efficiently. In this paper the two promising areas Natural Language Processing and Web technologies which can be combined together to enable the enterprise to combine the unstructured and structured data in ways that was not handled efficiently by traditional tools. The better understanding of web information can be done by integrating NLP and Web portal. The paper also explores various techniques used both areas. Also the NLP frameworks which can be used for the future work in this area.

References
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Index Terms

Computer Science
Information Sciences

Keywords

NLP information Retrieval semantic Assistance entity extraction visual page segmentation semi-markov conditional random fields hierarchical conditional random field and Web Portal.