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Learning regular expressions for the extraction of product attributes from E-commerce microdata
Petrovski, Petar
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Bryl, Volha
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Bizer, Christian
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URL:
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http://ceur-ws.org/Vol-1267/LD4IE2014_Petrovski.pd...
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Additional URL:
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https://www.semanticscholar.org/paper/Learning-Reg...
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Document Type:
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Conference or workshop publication
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Year of publication:
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2014
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Book title:
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LD4IE 2014 : Proceedings of the Second International Workshop on Linked Data for Information Extraction (LD4IE 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, October 20, 2014
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The title of a journal, publication series:
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CEUR Workshop Proceedings
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Volume:
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1267
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Page range:
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45-54
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Conference title:
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LD4IE@ISWC
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Location of the conference venue:
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Riva del Garda, Italy
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Date of the conference:
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20.10.2014
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Publisher:
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Gentile, Anna Lisa
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Zhang, Ziqi
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d'Amato, Claudia
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Paulheim, Heiko
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Place of publication:
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Aachen, Germany
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Publishing house:
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RWTH Aachen
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ISSN:
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1613-0073
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Related URLs:
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Publication language:
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English
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Institution:
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School of Business Informatics and Mathematics > Information Systems V: Web-based Systems (Bizer 2012-)
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Subject:
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004 Computer science, internet
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Abstract:
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A large number of e-commerce websites have started tomarkup their products using standards such as Microdata, Microfor-mats, and RDFa. However, the markup is mostly not as fine-grainedas desirable for applications and mostly consists of free text properties.This paper discusses the challenges that arise in the task of matchingdescriptions of electronic products from several thousand e-shops thato↵er Microdata markup. Specifically, our goal is to extract product at-tributes from product o↵ers, by means of regular expressions, in order tobuild well structured product specifications. For this purpose we presenta technique for learning regular expressions. We evaluate our attributeextraction approach using 1.9 million product o↵ers from 9,240 e-shopswhich we extracted from the Common Crawl 2012, a large public Webcorpus. Our results show that with our approach we are able to reach asimilar matching quality as with manually defined regular expressions.
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Additional information:
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Online-Ressource
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 Search Authors in
BASE:
Petrovski, Petar
;
Bryl, Volha
;
Bizer, Christian
Google Scholar:
Petrovski, Petar
;
Bryl, Volha
;
Bizer, Christian
ORCID:
Petrovski, Petar, Bryl, Volha and Bizer, Christian  ORCID: https://orcid.org/0000-0003-2367-0237
["search_editors_ORCID" not defined]
Gentile, Anna Lisa, Zhang, Ziqi, d'Amato, Claudia and Paulheim, Heiko ORCID: https://orcid.org/0000-0003-4386-8195
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