A Framework for Automatic Annotation of Web Pages Using the Google Rich Snippets Vocabulary

J van der Meer; F Boon; Frederik Hogenboom; Flavius Frasincar; U Kaymak

doi:10.1145/1982185.1982352

A Framework for Automatic Annotation of Web Pages Using the Google Rich Snippets Vocabulary

J van der Meer, F Boon, Frederik Hogenboom, Flavius Frasincar, U Kaymak

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

9 Citations (Scopus)

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	Twenty-Sixth Symposium on Applied Computing (SAC 2011)
Editors	W. Chu, W.E. Wong, M.J. Palakal, C.-C. Hung
Publisher	ACM
Pages	765-772
Number of pages	8
DOIs	https://doi.org/10.1145/1982185.1982352
Publication status	Published - 21 Mar 2011

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EUR ESE 32

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10.1145/1982185.1982352

http://hdl.handle.net/1765/26606

Cite this

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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 = "{van der Meer}, J and F Boon and Frederik Hogenboom and Flavius Frasincar and U Kaymak",

year = "2011",

month = mar,

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doi = "10.1145/1982185.1982352",

language = "English",

pages = "765--772",

editor = "W. Chu and W.E. Wong and M.J. Palakal and C.-C. Hung",

booktitle = "Twenty-Sixth Symposium on Applied Computing (SAC 2011)",

publisher = "ACM",

address = "United States",

}

A Framework for Automatic Annotation of Web Pages Using the Google Rich Snippets Vocabulary. / van der Meer, J; Boon, F; Hogenboom, Frederik et al.
Twenty-Sixth Symposium on Applied Computing (SAC 2011). ed. / W. Chu; W.E. Wong; M.J. Palakal; C.-C. Hung. ACM, 2011. p. 765-772.

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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AU - van der Meer, J

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AU - Hogenboom, Frederik

AU - Frasincar, Flavius

AU - Kaymak, U

PY - 2011/3/21

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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.

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DO - 10.1145/1982185.1982352

M3 - Conference proceeding

SP - 765

EP - 772

BT - Twenty-Sixth Symposium on Applied Computing (SAC 2011)

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A2 - Palakal, M.J.

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PB - ACM

ER -

A Framework for Automatic Annotation of Web Pages Using the Google Rich Snippets Vocabulary

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