Content-based Title Extraction from Web Page

Najlah Gali, Pasi Fränti

2016

Abstract

Web pages are usually designed in a presentation oriented fashion, having therefore a large amount of non-informative data such as navigation banners, advertisement and functional text. For a particular user, only informative data such as title, main content, and representative images are considered useful. Existing methods for title extraction rely on the structural and visual features of the web page. In this paper, we propose a simpler, but more effective method by analysing the content of the title and meta tags in respect to the main body of the page. We segment the title and meta tags using a set of predefined delimiters and score the segments using three criteria: placement in tag, popularity within all header tags in the page, and the position in the link of the web page. The method is fully automated, template independent, and not limited to any certain type of web pages. Experimental results show that the method significantly improves the accuracy (average similarity to the ground truth title) from 62 % to 84 %.

Paper Citation

in Harvard Style

Gali N. and Fränti P. (2016). Content-based Title Extraction from Web Page . In Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-989-758-186-1, pages 204-210. DOI: 10.5220/0005794102040210

in Bibtex Style

@conference{webist16,
author={Najlah Gali and Pasi Fränti},
title={Content-based Title Extraction from Web Page},
booktitle={Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2016},
pages={204-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005794102040210},
isbn={978-989-758-186-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - Content-based Title Extraction from Web Page
SN - 978-989-758-186-1
AU - Gali N.
AU - Fränti P.
PY - 2016
SP - 204
EP - 210
DO - 10.5220/0005794102040210