Automatic discovery of semantic structures in HTML documents

Saikat Mukherjee; Guizhen Yang; Wenfang Tan; I. V. Ramakrishnan

doi:10.1109/ICDAR.2003.1227667

Automatic discovery of semantic structures in HTML documents

Saikat Mukherjee
, Guizhen Yang
, Wenfang Tan
, I. V. Ramakrishnan

Computer Science

Stony Brook University

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

35 Scopus citations

Abstract

Template-driven HTML documents posses an implicit, fixed schema denoting concepts and their relationships in a hierarchical fashion. Discovering this schema remains a relatively unexplored problem. By exploiting a key observation that semantically related items in HTML documents exhibit spatial locality, we develop an algorithm for automatically partitioning them into tree-like semantic structures which expose the implicit schema.

Original language	English
Title of host publication	Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003
Publisher	IEEE Computer Society
Pages	245-249
Number of pages	5
ISBN (Electronic)	0769519601
DOIs	https://doi.org/10.1109/ICDAR.2003.1227667
State	Published - 2003
Event	7th International Conference on Document Analysis and Recognition, ICDAR 2003 - Edinburgh, United Kingdom Duration: Aug 3 2003 → Aug 6 2003

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2003-January
ISSN (Print)	1520-5363

Conference

Conference	7th International Conference on Document Analysis and Recognition, ICDAR 2003
Country/Territory	United Kingdom
City	Edinburgh
Period	08/3/03 → 08/6/03

Access to Document

10.1109/ICDAR.2003.1227667

Cite this

Mukherjee, S., Yang, G., Tan, W., & Ramakrishnan, I. V. (2003). Automatic discovery of semantic structures in HTML documents. In Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003 (pp. 245-249). Article 1227667 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2003-January). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2003.1227667

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title = "Automatic discovery of semantic structures in HTML documents",

abstract = "Template-driven HTML documents posses an implicit, fixed schema denoting concepts and their relationships in a hierarchical fashion. Discovering this schema remains a relatively unexplored problem. By exploiting a key observation that semantically related items in HTML documents exhibit spatial locality, we develop an algorithm for automatically partitioning them into tree-like semantic structures which expose the implicit schema.",

author = "Saikat Mukherjee and Guizhen Yang and Wenfang Tan and Ramakrishnan, \{I. V.\}",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 7th International Conference on Document Analysis and Recognition, ICDAR 2003 ; Conference date: 03-08-2003 Through 06-08-2003",

year = "2003",

doi = "10.1109/ICDAR.2003.1227667",

language = "English",

series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",

publisher = "IEEE Computer Society",

pages = "245--249",

booktitle = "Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003",

}

Mukherjee, S, Yang, G, Tan, W & Ramakrishnan, IV 2003, Automatic discovery of semantic structures in HTML documents. in Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003., 1227667, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2003-January, IEEE Computer Society, pp. 245-249, 7th International Conference on Document Analysis and Recognition, ICDAR 2003, Edinburgh, United Kingdom, 08/3/03. https://doi.org/10.1109/ICDAR.2003.1227667

Automatic discovery of semantic structures in HTML documents. / Mukherjee, Saikat; Yang, Guizhen; Tan, Wenfang et al.
Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003. IEEE Computer Society, 2003. p. 245-249 1227667 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2003-January).

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

TY - GEN

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AU - Mukherjee, Saikat

AU - Yang, Guizhen

AU - Tan, Wenfang

AU - Ramakrishnan, I. V.

PY - 2003

Y1 - 2003

N2 - Template-driven HTML documents posses an implicit, fixed schema denoting concepts and their relationships in a hierarchical fashion. Discovering this schema remains a relatively unexplored problem. By exploiting a key observation that semantically related items in HTML documents exhibit spatial locality, we develop an algorithm for automatically partitioning them into tree-like semantic structures which expose the implicit schema.

AB - Template-driven HTML documents posses an implicit, fixed schema denoting concepts and their relationships in a hierarchical fashion. Discovering this schema remains a relatively unexplored problem. By exploiting a key observation that semantically related items in HTML documents exhibit spatial locality, we develop an algorithm for automatically partitioning them into tree-like semantic structures which expose the implicit schema.

UR - https://www.scopus.com/pages/publications/84945930296

U2 - 10.1109/ICDAR.2003.1227667

DO - 10.1109/ICDAR.2003.1227667

M3 - Conference contribution

AN - SCOPUS:84945930296

T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

SP - 245

EP - 249

BT - Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003

PB - IEEE Computer Society

T2 - 7th International Conference on Document Analysis and Recognition, ICDAR 2003

Y2 - 3 August 2003 through 6 August 2003

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Mukherjee S, Yang G, Tan W, Ramakrishnan IV. Automatic discovery of semantic structures in HTML documents. In Proceedings - 7th International Conference on Document Analysis and Recognition, ICDAR 2003. IEEE Computer Society. 2003. p. 245-249. 1227667. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.2003.1227667

Automatic discovery of semantic structures in HTML documents

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