Postal address detection from Web documents

Can Lin; Qian Zhang; Xiaofeng Meng; Wenyin Liu

doi:10.1109/WIRI.2005.28

Postal address detection from Web documents

Can Lin
, Qian Zhang
, Xiaofeng Meng
, Wenyin Liu

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

19 Citations (Scopus)

Abstract

An approach to postal address detection from webpages is proposed. The webpages are first segmented into text blocks based on their visual similarity. The text content in each block undergoes the recognition process, which employs a syntactic approach. The grammars of almost all possible patterns of postal addresses are built for this purpose. The results of our preliminary experiments on 44 webpages with 56 true addresses show that our approach can detect the postal addresses with a high precision (89.3%) and a low false alarms rate (3.8%). © 2005 IEEE.

Original language	English
Title of host publication	Proceedings - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05
Pages	40-45
Volume	2005
DOIs	https://doi.org/10.1109/WIRI.2005.28
Publication status	Published - 2005
Event	International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05 - Tokyo, Japan Duration: 8 Apr 2005 → 9 Apr 2005 https://ieeexplore.ieee.org/xpl/conhome/10404/proceeding

Publication series

Name	Proceedings - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05
Volume	2005

Conference

Conference	International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05
Place	Japan
City	Tokyo
Period	8/04/05 → 9/04/05
Internet address	https://ieeexplore.ieee.org/xpl/conhome/10404/proceeding

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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Lin, C., Zhang, Q., Meng, X., & Liu, W. (2005). Postal address detection from Web documents. In Proceedings - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05 (Vol. 2005, pp. 40-45). Article 1552994 (Proceedings - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05; Vol. 2005). https://doi.org/10.1109/WIRI.2005.28

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title = "Postal address detection from Web documents",

abstract = "An approach to postal address detection from webpages is proposed. The webpages are first segmented into text blocks based on their visual similarity. The text content in each block undergoes the recognition process, which employs a syntactic approach. The grammars of almost all possible patterns of postal addresses are built for this purpose. The results of our preliminary experiments on 44 webpages with 56 true addresses show that our approach can detect the postal addresses with a high precision (89.3\%) and a low false alarms rate (3.8\%). {\textcopyright} 2005 IEEE.",

author = "Can Lin and Qian Zhang and Xiaofeng Meng and Wenyin Liu",

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volume = "2005",

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Lin, C, Zhang, Q, Meng, X & Liu, W 2005, Postal address detection from Web documents. in Proceedings - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05. vol. 2005, 1552994, Proceedings - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05, vol. 2005, pp. 40-45, International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05, Tokyo, Japan, 8/04/05. https://doi.org/10.1109/WIRI.2005.28

Postal address detection from Web documents. / Lin, Can; Zhang, Qian; Meng, Xiaofeng et al.
Proceedings - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05. Vol. 2005 2005. p. 40-45 1552994 (Proceedings - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05; Vol. 2005).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Postal address detection from Web documents

AU - Lin, Can

AU - Zhang, Qian

AU - Meng, Xiaofeng

AU - Liu, Wenyin

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2005

Y1 - 2005

N2 - An approach to postal address detection from webpages is proposed. The webpages are first segmented into text blocks based on their visual similarity. The text content in each block undergoes the recognition process, which employs a syntactic approach. The grammars of almost all possible patterns of postal addresses are built for this purpose. The results of our preliminary experiments on 44 webpages with 56 true addresses show that our approach can detect the postal addresses with a high precision (89.3%) and a low false alarms rate (3.8%). © 2005 IEEE.

AB - An approach to postal address detection from webpages is proposed. The webpages are first segmented into text blocks based on their visual similarity. The text content in each block undergoes the recognition process, which employs a syntactic approach. The grammars of almost all possible patterns of postal addresses are built for this purpose. The results of our preliminary experiments on 44 webpages with 56 true addresses show that our approach can detect the postal addresses with a high precision (89.3%) and a low false alarms rate (3.8%). © 2005 IEEE.

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U2 - 10.1109/WIRI.2005.28

DO - 10.1109/WIRI.2005.28

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0769524141

SN - 9780769524146

VL - 2005

T3 - Proceedings - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05

SP - 40

EP - 45

BT - Proceedings - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05

T2 - International Workshop on Challenges in Web Information Retrieval and Integration, WIRI'05

Y2 - 8 April 2005 through 9 April 2005

ER -

Postal address detection from Web documents

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