Automatic Multiple Document Text Summarization using Wordnet and Agility Tool

naresh kumar

Automatic Multiple Document Text Summarization using Wordnet and Agility Tool

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Automatic Multiple Document Text Summarization using Wordnet and Agility Tool

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Abstract

The number of web pages on the World Wide Web is increasing very rapidly. Consequently, search engines like Google, AltaVista, Bing etc. provides a long list of URLs to the end user. So, it becomes very difficult to review and analyze each web page manually. That’s why automatic text sum-arization is used to summarize the source text into its shorter version by preserving its information content and overall meaning. This paper proposes an automatic multiple documents text summarization technique called AMDTSWA, which allows the end user to select multiple URLs to generate their summarized results in parallel. AMDTSWA makes the use of concept based segmentation, HTML DOM tree and concept blocks formation. Similarities of contents are determined by calculating the sentence score and useful information is extracted for generating a comparative summary. The proposed approach is implemented by using ASP.Net and gives good results.

References

15 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

naresh kumar. 2014. "Automatic Multiple Document Text Summarization using Wordnet and Agility Tool". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E5).

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GJCST Volume 14 Issue E5

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

agilitytool document text summarization DOM tree similarity summarizer web page word net www

Classification

K.6.3

Submission ReceivedDecember 16, 2013
Peer Review Double Blind
Handling Editor
Accepted January 3, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

September 18, 2014

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Naresh Kumar, Dr. Rajender Nath (PhD/Dr. count: 1)

View Count (all-time): 397

Total Views (Real + Logic): 2104

Total Downloads (simulated): 135

Publish Date: 2014 01, Wed

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Total Views: 2.1K

Total Downloads: 135

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