A framework for automatic annotation of web pages using the Google Rich Snippets vocabulary

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

A framework for automatic annotation of web pages using the Google Rich Snippets vocabulary

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

Information Systems IE&IS

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

9 Citations (Scopus)

1 Downloads (Pure)

Abstract

One of the latest developments for the Semantic Web is Google Rich Snippets, a service that uses Web page annotations for displaying search results in a visually appealing manner. In this paper we propose the Automatic Review Recognition and annOtation of Web pages (ARROW) framework, which is able to identify reviews on Web pages and to annotate them using RDFa attributes. The ARROW framework consists of four steps: hotspot identification, subjectivity analysis, information 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 26th Symposium On Applied Computing (SAC 2011), March 21-24, 2011, Taichung, Taiwan
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery, Inc.
Pages	765-772
ISBN (Print)	978-1-4503-0113-8
Publication status	Published - 2011
Event	26th ACM Symposium on Applied Computing (SAC 2011) - Tunghai University, TaiChung, Taiwan Duration: 21 Mar 2011 → 24 Mar 2011 Conference number: 26

Conference

Conference	26th ACM Symposium on Applied Computing (SAC 2011)
Abbreviated title	SAC 2011
Country/Territory	Taiwan
City	TaiChung
Period	21/03/11 → 24/03/11

Cite this

@inproceedings{aba2881cb38242829b322e5a10dd53fb,

title = "A framework for automatic annotation of web pages using the Google Rich Snippets vocabulary",

abstract = "One of the latest developments for the Semantic Web is Google Rich Snippets, a service that uses Web page annotations for displaying search results in a visually appealing manner. In this paper we propose the Automatic Review Recognition and annOtation of Web pages (ARROW) framework, which is able to identify reviews on Web pages and to annotate them using RDFa attributes. The ARROW framework consists of four steps: hotspot identification, subjectivity analysis, information 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 = "\{Meer, van der\}, J. and F. Boon and F.P. Hogenboom and F. Frasincar and U. Kaymak",

year = "2011",

language = "English",

isbn = "978-1-4503-0113-8",

pages = "765--772",

booktitle = "Proceedings of the 26th Symposium On Applied Computing (SAC 2011), March 21-24, 2011, Taichung, Taiwan",

publisher = "Association for Computing Machinery, Inc.",

address = "United States",

note = "26th ACM Symposium on Applied Computing (SAC 2011), SAC 2011 ; Conference date: 21-03-2011 Through 24-03-2011",

}

Meer, van der, J, Boon, F, Hogenboom, FP, Frasincar, F & Kaymak, U 2011, A framework for automatic annotation of web pages using the Google Rich Snippets vocabulary. in Proceedings of the 26th Symposium On Applied Computing (SAC 2011), March 21-24, 2011, Taichung, Taiwan. Association for Computing Machinery, Inc., New York, NY, USA, pp. 765-772, 26th ACM Symposium on Applied Computing (SAC 2011), TaiChung, Taiwan, 21/03/11.

A framework for automatic annotation of web pages using the Google Rich Snippets vocabulary. / Meer, van der, J.; Boon, F.; Hogenboom, F.P. et al.
Proceedings of the 26th Symposium On Applied Computing (SAC 2011), March 21-24, 2011, Taichung, Taiwan. New York, NY, USA: Association for Computing Machinery, Inc., 2011. p. 765-772.

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

TY - GEN

T1 - A framework for automatic annotation of web pages using the Google Rich Snippets vocabulary

AU - Meer, van der, J.

AU - Boon, F.

AU - Hogenboom, F.P.

AU - Frasincar, F.

AU - Kaymak, U.

N1 - Conference code: 26

PY - 2011

Y1 - 2011

N2 - One of the latest developments for the Semantic Web is Google Rich Snippets, a service that uses Web page annotations for displaying search results in a visually appealing manner. In this paper we propose the Automatic Review Recognition and annOtation of Web pages (ARROW) framework, which is able to identify reviews on Web pages and to annotate them using RDFa attributes. The ARROW framework consists of four steps: hotspot identification, subjectivity analysis, information 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 - One of the latest developments for the Semantic Web is Google Rich Snippets, a service that uses Web page annotations for displaying search results in a visually appealing manner. In this paper we propose the Automatic Review Recognition and annOtation of Web pages (ARROW) framework, which is able to identify reviews on Web pages and to annotate them using RDFa attributes. The ARROW framework consists of four steps: hotspot identification, subjectivity analysis, information 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

SN - 978-1-4503-0113-8

SP - 765

EP - 772

BT - Proceedings of the 26th Symposium On Applied Computing (SAC 2011), March 21-24, 2011, Taichung, Taiwan

PB - Association for Computing Machinery, Inc.

CY - New York, NY, USA

T2 - 26th ACM Symposium on Applied Computing (SAC 2011)

Y2 - 21 March 2011 through 24 March 2011

ER -

A framework for automatic annotation of web pages using the Google Rich Snippets vocabulary

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