WARCProcessor: An Integrative Tool for Building and Management of Web Spam Corpora

Clicks: 141
ID: 273389
2017
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #1,557 of 1,694 articles by views in sensors

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,694 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
In this work we present the design and implementation of WARCProcessor, a novel multiplatform integrative tool aimed to build scientific datasets to facilitate experimentation in web spam research. The developed application allows the user to specify multiple criteria that change the way in which new corpora are generated whilst reducing the number of repetitive and error prone tasks related with existing corpus maintenance. For this goal, WARCProcessor supports up to six commonly used data sources for web spam research, being able to store output corpus in standard WARC format together with complementary metadata files. Additionally, the application facilitates the automatic and concurrent download of web sites from Internet, giving the possibility of configuring the deep of the links to be followed as well as the behaviour when redirected URLs appear. WARCProcessor supports both an interactive GUI interface and a command line utility for being executed in background.
Reference Key
callón2017sensorswarcprocessor: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Miguel Callón;Jorge Fdez-Glez;David Ruano-Ordás;Rosalía Laza;Reyes Pavón;Florentino Fdez-Riverola;Jose Ramón Méndez;Callón, Miguel;Fdez-Glez, Jorge;Ruano-Ordás, David;Laza, Rosalía;Pavón, Reyes;Fdez-Riverola, Florentino;Méndez, Jose Ramón;
Journal sensors
Year 2017
DOI
10.3390/s18010016
URL
https://www.mdpi.com/1424-8220/18/1/16
Keywords
web spam research corpus generation and maintenance multiple data sources warc format 1.0

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.