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Self-supervised automated wrapper generation for weblog data extraction
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Gkotsis, George, Stepanyan, Karen, Cristea, Alexandra I. and Joy, Mike (2013) Self-supervised automated wrapper generation for weblog data extraction. In: 29th British National Conference on Databases, BNCOD 2013, Oxford, 8-10 July, 2013. Published in: Big data, Volume 7968 pp. 292-302. ISBN 9783642394669. doi:10.1007/978-3-642-39467-6_26 ISSN 0302-9743.
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WRAP_Stepanyan_gkotsis_stepanyan_cristea_joy_bncod13.pdf - Accepted Version Download (602Kb) | Preview |
Official URL: http://dx.doi.org/10.1007/978-3-642-39467-6_26
Abstract
Data extraction from the web is notoriously hard. Of the types of resources available on the web, weblogs are becoming increasingly important due to the continued growth of the blogosphere, but remain poorly explored. Past approaches to data extraction from weblogs have often involved manual intervention and suffer from low scalability. This paper proposes a fully automated information extraction methodology based on the use of web feeds and processing of HTML. The approach includes a model for generating a wrapper that exploits web feeds for deriving a set of extraction rules automatically. Instead of performing a pairwise comparison between posts, the model matches the values of the web feeds against their corresponding HTML elements retrieved from multiple weblog posts. It adopts a probabilistic approach for deriving a set of rules and automating the process of wrapper generation. An evaluation of the model is conducted on a dataset of 2,393 posts and the results (92% accuracy) show that the proposed technique enables robust extraction of weblog properties and can be applied across the blogosphere for applications such as improved information retrieval and more robust web preservation initiatives.
Item Type: | Conference Item (Paper) | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Blogs, Data mining | ||||
Series Name: | Lecture Notes in Computer Science | ||||
Journal or Publication Title: | Big data | ||||
Publisher: | Springer Berlin Heidelberg | ||||
ISBN: | 9783642394669 | ||||
ISSN: | 0302-9743 | ||||
Editor: | Gottlob, G. (Georg) and Grasso, Giovanni and Olteanu, Dan and Schallhart, Christian | ||||
Official Date: | 2013 | ||||
Dates: |
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Volume: | Volume 7968 | ||||
Page Range: | pp. 292-302 | ||||
DOI: | 10.1007/978-3-642-39467-6_26 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Description: | |||||
Date of first compliant deposit: | 26 December 2015 | ||||
Date of first compliant Open Access: | 26 December 2015 | ||||
Funder: | Seventh Framework Programme (European Commission) (FP7) | ||||
Grant number: | 269963 (FP7) | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 29th British National Conference on Databases, BNCOD 2013 | ||||
Type of Event: | Conference | ||||
Location of Event: | Oxford | ||||
Date(s) of Event: | 8-10 July, 2013 |
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