Automatically annotating web pages using Google Rich Snippets

F.P. Hogenboom; F. Frasincar; D. Vandic; J. Meer, van der; F. Boon; U. Kaymak

Automatically annotating web pages using Google Rich Snippets

F.P. Hogenboom, F. Frasincar, D. Vandic, J. Meer, van der, F. Boon, U. Kaymak

Information Systems IE&IS

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

We propose the Automatic Review Recognition and annO- tation of Web pages (ARROW) framework, a framework for Web page review identification and annotation using RDFa Google Rich Snippets. The ARROW framework consists of four steps: hotspot identification, subjectivity analysis, in- formation extraction, and page annotation. We evaluate an implementation of the framework by using various Web sites. Based on the evaluation we conclude that our framework is able to properly identify the majority of reviews, reviewed items, and review dates.

Original language	English
Title of host publication	Proceedings of the 11th Dutch-Belgian Information Retrieval Workshop (DIR 2011), February 4, 2011, Amsterdam, the Netherlands
Place of Publication	Amsterdam
Publisher	Universiteit van Amsterdam
Pages	42-43
Publication status	Published - 2011
Event	conference; 11th Dutch-Belgian Information Retrieval Workshop (DIR 2011); 2011-02-04; 2011-02-04 - Duration: 4 Feb 2011 → 4 Feb 2011

Conference

Conference	conference; 11th Dutch-Belgian Information Retrieval Workshop (DIR 2011); 2011-02-04; 2011-02-04
Period	4/02/11 → 4/02/11
Other	11th Dutch-Belgian Information Retrieval Workshop (DIR 2011)

Cite this

@inproceedings{e10eb8a9fc0543da9459d6ff86174a09,

title = "Automatically annotating web pages using Google Rich Snippets",

abstract = "We propose the Automatic Review Recognition and annO- tation of Web pages (ARROW) framework, a framework for Web page review identification and annotation using RDFa Google Rich Snippets. The ARROW framework consists of four steps: hotspot identification, subjectivity analysis, in- formation extraction, and page annotation. We evaluate an implementation of the framework by using various Web sites. Based on the evaluation we conclude that our framework is able to properly identify the majority of reviews, reviewed items, and review dates.",

author = "F.P. Hogenboom and F. Frasincar and D. Vandic and {Meer, van der}, J. and F. Boon and U. Kaymak",

year = "2011",

language = "English",

pages = "42--43",

booktitle = "Proceedings of the 11th Dutch-Belgian Information Retrieval Workshop (DIR 2011), February 4, 2011, Amsterdam, the Netherlands",

publisher = "Universiteit van Amsterdam",

note = "conference; 11th Dutch-Belgian Information Retrieval Workshop (DIR 2011); 2011-02-04; 2011-02-04 ; Conference date: 04-02-2011 Through 04-02-2011",

}

Hogenboom, FP, Frasincar, F, Vandic, D, Meer, van der, J, Boon, F & Kaymak, U 2011, Automatically annotating web pages using Google Rich Snippets. in Proceedings of the 11th Dutch-Belgian Information Retrieval Workshop (DIR 2011), February 4, 2011, Amsterdam, the Netherlands. Universiteit van Amsterdam, Amsterdam, pp. 42-43, conference; 11th Dutch-Belgian Information Retrieval Workshop (DIR 2011); 2011-02-04; 2011-02-04, 4/02/11.

Automatically annotating web pages using Google Rich Snippets. / Hogenboom, F.P.; Frasincar, F.; Vandic, D. et al.
Proceedings of the 11th Dutch-Belgian Information Retrieval Workshop (DIR 2011), February 4, 2011, Amsterdam, the Netherlands. Amsterdam: Universiteit van Amsterdam, 2011. p. 42-43.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Automatically annotating web pages using Google Rich Snippets

AU - Hogenboom, F.P.

AU - Frasincar, F.

AU - Vandic, D.

AU - Meer, van der, J.

AU - Boon, F.

AU - Kaymak, U.

PY - 2011

Y1 - 2011

N2 - We propose the Automatic Review Recognition and annO- tation of Web pages (ARROW) framework, a framework for Web page review identification and annotation using RDFa Google Rich Snippets. The ARROW framework consists of four steps: hotspot identification, subjectivity analysis, in- formation extraction, and page annotation. We evaluate an implementation of the framework by using various Web sites. Based on the evaluation we conclude that our framework is able to properly identify the majority of reviews, reviewed items, and review dates.

AB - We propose the Automatic Review Recognition and annO- tation of Web pages (ARROW) framework, a framework for Web page review identification and annotation using RDFa Google Rich Snippets. The ARROW framework consists of four steps: hotspot identification, subjectivity analysis, in- formation extraction, and page annotation. We evaluate an implementation of the framework by using various Web sites. Based on the evaluation we conclude that our framework is able to properly identify the majority of reviews, reviewed items, and review dates.

M3 - Conference contribution

SP - 42

EP - 43

BT - Proceedings of the 11th Dutch-Belgian Information Retrieval Workshop (DIR 2011), February 4, 2011, Amsterdam, the Netherlands

PB - Universiteit van Amsterdam

CY - Amsterdam

T2 - conference; 11th Dutch-Belgian Information Retrieval Workshop (DIR 2011); 2011-02-04; 2011-02-04

Y2 - 4 February 2011 through 4 February 2011

ER -

Automatically annotating web pages using Google Rich Snippets

Abstract

Conference

Fingerprint

Cite this