Web Scraping of Online Newspapers via Image Matching

D. Moltisanti; G. M. Farinella; S. Battiato; G. Giuffrida

doi:10.1007/978-3-319-23413-7_4

Web Scraping of Online Newspapers via Image Matching

D. Moltisanti, G. M. Farinella, S. Battiato, G. Giuffrida

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

Reading is an activity which takes place widely on the web: almost all newspapers have his own digital version on the internet and there are even a lot of magazines only on the web. In such a scenario, Computer Vision can offer a useful set of tools that can help web editors to improve the quality of the provided service. One of these tools is here presented: given a webpage of a newspaper or journal, the proposed framework localizes news items remotely clicked by users, giving the bounding box of the content of an article in its relative homepage. The tool is hence able to track an article in the page in which is contained at any time during the day: such an information is very useful for web editors to understand the trend of the published items and to rearrange the contents of the homepage accordingly.

Original language	English
Title of host publication	Progress in Industrial Mathematics at ECMI 2014
Editors	Giovanni Russo, Vincenzo Capasso, Giuseppe Nicosia, Vittorio Romano
Place of Publication	Cham
Publisher	Springer
Pages	17-24
Number of pages	8
ISBN (Electronic)	978-3-319-23413-7
ISBN (Print)	978-3-319-79479-2
DOIs	https://doi.org/10.1007/978-3-319-23413-7_4
Publication status	Published - 5 Sept 2017
Event	The 18th European Conference on Mathematics for Industry 2014 - Taormina, Italy Duration: 9 Jun 2014 → 13 Jun 2014 Conference number: 18 https://ecmi2014.taosciences.org/

Publication series

Name	Mathematics in Industry
Publisher	Springer, Cham
Volume	22
ISSN (Print)	1612-3956
ISSN (Electronic)	2198-3283

Conference

Conference	The 18th European Conference on Mathematics for Industry 2014
Abbreviated title	ECMI 2014
Country/Territory	Italy
City	Taormina
Period	9/06/14 → 13/06/14
Internet address	https://ecmi2014.taosciences.org/

Keywords / Materials (for Non-textual outputs)

Computer vision
Image matching

Access to Document

10.1007/978-3-319-23413-7_4Licence: All Rights Reserved

https://link.springer.com/chapter/10.1007/978-3-319-23413-7_4Licence: All Rights Reserved

Cite this

@inproceedings{ec71e728a45042baa9bbb531adf39b09,

title = "Web Scraping of Online Newspapers via Image Matching",

abstract = "Reading is an activity which takes place widely on the web: almost all newspapers have his own digital version on the internet and there are even a lot of magazines only on the web. In such a scenario, Computer Vision can offer a useful set of tools that can help web editors to improve the quality of the provided service. One of these tools is here presented: given a webpage of a newspaper or journal, the proposed framework localizes news items remotely clicked by users, giving the bounding box of the content of an article in its relative homepage. The tool is hence able to track an article in the page in which is contained at any time during the day: such an information is very useful for web editors to understand the trend of the published items and to rearrange the contents of the homepage accordingly.",

keywords = "Computer vision, Image matching",

author = "D. Moltisanti and Farinella, {G. M.} and S. Battiato and G. Giuffrida",

year = "2017",

month = sep,

day = "5",

doi = "10.1007/978-3-319-23413-7_4",

language = "English",

isbn = "978-3-319-79479-2",

series = "Mathematics in Industry",

publisher = "Springer",

pages = "17--24",

editor = "Giovanni Russo and Vincenzo Capasso and Giuseppe Nicosia and Vittorio Romano",

booktitle = "Progress in Industrial Mathematics at ECMI 2014",

address = "United Kingdom",

note = "The 18th European Conference on Mathematics for Industry 2014, ECMI 2014 ; Conference date: 09-06-2014 Through 13-06-2014",

url = "https://ecmi2014.taosciences.org/",

}

Moltisanti, D, Farinella, GM, Battiato, S & Giuffrida, G 2017, Web Scraping of Online Newspapers via Image Matching. in G Russo, V Capasso, G Nicosia & V Romano (eds), Progress in Industrial Mathematics at ECMI 2014. Mathematics in Industry, vol. 22, Springer, Cham, pp. 17-24, The 18th European Conference on Mathematics for Industry 2014, Taormina, Italy, 9/06/14. https://doi.org/10.1007/978-3-319-23413-7_4

Web Scraping of Online Newspapers via Image Matching. / Moltisanti, D.; Farinella, G. M.; Battiato, S. et al.
Progress in Industrial Mathematics at ECMI 2014. ed. / Giovanni Russo; Vincenzo Capasso; Giuseppe Nicosia; Vittorio Romano. Cham: Springer, 2017. p. 17-24 (Mathematics in Industry; Vol. 22).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Web Scraping of Online Newspapers via Image Matching

AU - Moltisanti, D.

AU - Farinella, G. M.

AU - Battiato, S.

AU - Giuffrida, G.

N1 - Conference code: 18

PY - 2017/9/5

Y1 - 2017/9/5

N2 - Reading is an activity which takes place widely on the web: almost all newspapers have his own digital version on the internet and there are even a lot of magazines only on the web. In such a scenario, Computer Vision can offer a useful set of tools that can help web editors to improve the quality of the provided service. One of these tools is here presented: given a webpage of a newspaper or journal, the proposed framework localizes news items remotely clicked by users, giving the bounding box of the content of an article in its relative homepage. The tool is hence able to track an article in the page in which is contained at any time during the day: such an information is very useful for web editors to understand the trend of the published items and to rearrange the contents of the homepage accordingly.

AB - Reading is an activity which takes place widely on the web: almost all newspapers have his own digital version on the internet and there are even a lot of magazines only on the web. In such a scenario, Computer Vision can offer a useful set of tools that can help web editors to improve the quality of the provided service. One of these tools is here presented: given a webpage of a newspaper or journal, the proposed framework localizes news items remotely clicked by users, giving the bounding box of the content of an article in its relative homepage. The tool is hence able to track an article in the page in which is contained at any time during the day: such an information is very useful for web editors to understand the trend of the published items and to rearrange the contents of the homepage accordingly.

KW - Computer vision

KW - Image matching

U2 - 10.1007/978-3-319-23413-7_4

DO - 10.1007/978-3-319-23413-7_4

M3 - Conference contribution

SN - 978-3-319-79479-2

T3 - Mathematics in Industry

SP - 17

EP - 24

BT - Progress in Industrial Mathematics at ECMI 2014

A2 - Russo, Giovanni

A2 - Capasso, Vincenzo

A2 - Nicosia, Giuseppe

A2 - Romano, Vittorio

PB - Springer

CY - Cham

T2 - The 18th European Conference on Mathematics for Industry 2014

Y2 - 9 June 2014 through 13 June 2014

ER -

Web Scraping of Online Newspapers via Image Matching

Abstract / Description of output

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Cite this