research-article

Extracting the author of web pages

Authors:

Yoshikiyo Kato,

Daisuke Kawahara,

Sadao Kurohashi,

Tomohide ShibataAuthors Info & Claims

WICOW '08: Proceedings of the 2nd ACM workshop on Information credibility on the web

Pages 35 - 42

https://doi.org/10.1145/1458527.1458537

Published: 30 October 2008 Publication History

Abstract

In this paper, we define the problem of identifying the author of a Web page as a sub-problem of identifying the information sender configuration of a Web page. We propose a method that extracts the author name candidates from a Web page based on linguistic features, and rank the candidates based on local features such as distance from the main content. The evaluation shows that we can achieve more than 75% precision when evaluated with candidates ranked within top five.

References

[1]

D. Cai, S. Yu, J.-R. Wen, andW.-Y. Ma. VIPS: A vision-based page segmentation algorithm. Technical Report MSR-TR-2003-79, Microsoft Research, 2003.

[2]

F. Ciravegna. (LP)2, an adaptive algorithm for information extraction from web-related texts. In Proceedinsg of the IJCAI-2001 Workshop on Adaptive Text Extraction and Mining, 2001.

[3]

F. Ciravegna and Y. Wilks. Designing adaptive information extraction for the semantic web in Amilcare. In S. Handschuh and S. Staab, editors, Annotation for the Semantic Web. IOS Press, 2003.

[4]

O. Etzioni, M. Cafarella, D. Downey, A.-M. Popescu, T. Shaked, S. Soderland, D. S. Weld, and A. Yates. Unsupervised named-entity extraction from the web: an experimental study. Artificial Intelligence, 165(1):91--134, 2005.

Digital Library

[5]

G. Giuffrida, E. C. Shek, and J. Yang. Knowledge-based metadata extraction from postscript files. In Proceedings of the 5th ACM Conference on Digital Libraries, pages 77--84, 2000.

Digital Library

[6]

S. Handschuh, S. Staab, and F. Ciravegna. S-CREAM: Semi-automatic CREAtion of Metadata. In Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management, EKAW02. Springer Verlag, 2002.

Digital Library

[7]

T. Joachims. Optimizing search engines using clickthrough data. In KDD '02: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 133--142, New York, NY, USA, 2002. ACM.

Digital Library

[8]

Y. Kato, K. Inui, and S. Kurohashi. Extracting the identity and relation of information senders from web pages. In Proceedings of the 14th Annual Meeting of the Association for Natural Language Processing, pages 737--740, 2008. (in Japanese).

[9]

S. Kurohashi and D. Kawahara. KN parser (Kurohashi-Nagao parser) 2.0 Users Manual. University of Tokyo, 2005.

[10]

N. Kushmerick. Wrapper induction for information extraction. In Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI), 1997.

[11]

N. Kushmerick. Wrapper induction: Efficiency and expressiveness. Artificial Intelligence, 118:15--68, 2000.

Digital Library

[12]

H. Miyamori, S. Akamine, Y. Kato, K. Kaneiwa, K. Sumi, K. Inui, and S. Kurohashi. Evaluation data and prototype system wisdom for information credibility analysis. Internet Research, 18(2):155--164, 2008.

[13]

N. K. Papadakis, D. Skoutas, K. Raftopoulos, and T. A. Varvarigou. STAVIES: A system for information extraction from unknown web data sources through automatic web wrapper generation using clustering techniques. IEEE Transactions on Knowledge and Data Engineering, 17(12):1638--1652, 2005.

Digital Library

[14]

J. Tang, M. Hong, J. Li, and B. Liang. Tree-structured conditional random fields for semantic annotation. In Proceedings of the 5th International Semantic Web Conference, volume 4273 of LNCS, 2006.

Digital Library

[15]

P. Viola and M. Narasimhan. Learning to extract information from semi-structured text using a discriminative context free grammar. In Proceedings of SIGIR'05, pages 330--337, 2005.

Digital Library

[16]

S. Zheng, D. Wu, R. Song, and J.-R. Wen. Joint optimization of wrapper generation and template detection. In Proceedings of KDD'07, pages 894--902, 2007.

Digital Library

Cited By

Plachouras VRivière MVazirgiannis M(2012)Named entity recognition and identification for finding the owner of a home pageProceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I10.1007/978-3-642-30217-6_46(554-565)Online publication date: 29-May-2012
https://dl.acm.org/doi/10.1007/978-3-642-30217-6_46
Akamine SKawahara DKato YNakagawa TInui KKurohashi SKidawara YLee GSchulte im Walde S(2009)WISDOMProceedings of the ACL-IJCNLP 2009 Software Demonstrations10.5555/1667872.1667873(1-4)Online publication date: 3-Aug-2009
https://dl.acm.org/doi/10.5555/1667872.1667873
Miyazaki RMomose RShibuki HMori TEnami K(2009)Using web page layout for extraction of sender namesProceedings of the 3rd International Universal Communication Symposium10.1145/1667780.1667818(181-186)Online publication date: 3-Dec-2009
https://dl.acm.org/doi/10.1145/1667780.1667818
Show More Cited By

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Extracting the author of web pages

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Published In

cover image ACM Conferences

WICOW '08: Proceedings of the 2nd ACM workshop on Information credibility on the web

October 2008

100 pages

ISBN:9781605582597

DOI:10.1145/1458527

General Chairs:
Katsumi Tanaka
Kyoto University, Japan
,
Takashi Matsuyama
Kyoto University, Japan
,
Ee-Peng Lim
Singapore Management University, Singapore
,
Program Chair:
Adam Jatowt
Kyoto University, Japan

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 October 2008

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CIKM08

Sponsor:

CIKM08: Conference on Information and Knowledge Management

October 30, 2008

California, Napa Valley, USA

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Overall Acceptance Rate 9 of 19 submissions, 47%

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Cited By

Plachouras VRivière MVazirgiannis M(2012)Named entity recognition and identification for finding the owner of a home pageProceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I10.1007/978-3-642-30217-6_46(554-565)Online publication date: 29-May-2012
https://dl.acm.org/doi/10.1007/978-3-642-30217-6_46
Akamine SKawahara DKato YNakagawa TInui KKurohashi SKidawara YLee GSchulte im Walde S(2009)WISDOMProceedings of the ACL-IJCNLP 2009 Software Demonstrations10.5555/1667872.1667873(1-4)Online publication date: 3-Aug-2009
https://dl.acm.org/doi/10.5555/1667872.1667873
Miyazaki RMomose RShibuki HMori TEnami K(2009)Using web page layout for extraction of sender namesProceedings of the 3rd International Universal Communication Symposium10.1145/1667780.1667818(181-186)Online publication date: 3-Dec-2009
https://dl.acm.org/doi/10.1145/1667780.1667818
Changuel SLabroche NBouchon-Meunier B(2009)Automatic Web Pages Author ExtractionProceedings of the 8th International Conference on Flexible Query Answering Systems10.1007/978-3-642-04957-6_26(300-311)Online publication date: 3-Nov-2009
https://dl.acm.org/doi/10.1007/978-3-642-04957-6_26

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