Classifying web pages using information extraction patterns - Preliminary results and findings

Lay Ki Soon; Sang Ho Lee

doi:10.1109/SITIS.2010.42

Classifying web pages using information extraction patterns - Preliminary results and findings

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

Abstract

Web page classification plays an essential role in facilitating more efficient information retrieval and information processing. Conventionally, web text documents are represented by term frequency matrix for classification purpose. However, considering the limitations of representing documents using terms or keywords, we propose to represent web pages using information extraction patterns that are identified within the pages respectively. In this paper, we present the results as well as the findings obtained from our preliminary experiments. Our experimental results indicate that the existence of a word in different contexts has different impact to the classification task. Thus, the extraction patterns used to represent each document are more semantically meaningful and give better insight to web classification in comparison with keywords.

Original language	English
Title of host publication	Proceedings of the 6th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2010
Pages	195-202
Number of pages	8
DOIs	https://doi.org/10.1109/SITIS.2010.42
Publication status	Published - 2010
Externally published	Yes
Event	International Conference on Signal Image Technology & Internet Based Systems 2010 - Kuala Lumpur, Malaysia Duration: 15 Dec 2010 → 18 Dec 2010 Conference number: 6th https://ieeexplore.ieee.org/xpl/conhome/5714190/proceeding (Proceedings)

Conference

Conference	International Conference on Signal Image Technology & Internet Based Systems 2010
Abbreviated title	SITIS 2010
Country/Territory	Malaysia
City	Kuala Lumpur
Period	15/12/10 → 18/12/10
Internet address	https://ieeexplore.ieee.org/xpl/conhome/5714190/proceeding (Proceedings)

Keywords

Decision tree
Information extraction
Information gain
Web classification
Web mining

Access to Document

10.1109/SITIS.2010.42

Cite this

@inproceedings{d04425497a4d4abea7b0fa3c667b4231,

title = "Classifying web pages using information extraction patterns - Preliminary results and findings",

abstract = "Web page classification plays an essential role in facilitating more efficient information retrieval and information processing. Conventionally, web text documents are represented by term frequency matrix for classification purpose. However, considering the limitations of representing documents using terms or keywords, we propose to represent web pages using information extraction patterns that are identified within the pages respectively. In this paper, we present the results as well as the findings obtained from our preliminary experiments. Our experimental results indicate that the existence of a word in different contexts has different impact to the classification task. Thus, the extraction patterns used to represent each document are more semantically meaningful and give better insight to web classification in comparison with keywords.",

keywords = "Decision tree, Information extraction, Information gain, Web classification, Web mining",

author = "Soon, {Lay Ki} and Lee, {Sang Ho}",

note = "Copyright: Copyright 2011 Elsevier B.V., All rights reserved.; International Conference on Signal Image Technology & Internet Based Systems 2010, SITIS 2010 ; Conference date: 15-12-2010 Through 18-12-2010",

year = "2010",

doi = "10.1109/SITIS.2010.42",

language = "English",

isbn = "9780769543192",

pages = "195--202",

booktitle = "Proceedings of the 6th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2010",

url = "https://ieeexplore.ieee.org/xpl/conhome/5714190/proceeding",

}

Soon, LK & Lee, SH 2010, Classifying web pages using information extraction patterns - Preliminary results and findings. in Proceedings of the 6th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2010. pp. 195-202, International Conference on Signal Image Technology & Internet Based Systems 2010, Kuala Lumpur, Malaysia, 15/12/10. https://doi.org/10.1109/SITIS.2010.42

TY - GEN

T1 - Classifying web pages using information extraction patterns - Preliminary results and findings

AU - Soon, Lay Ki

AU - Lee, Sang Ho

N1 - Conference code: 6th

PY - 2010

Y1 - 2010

N2 - Web page classification plays an essential role in facilitating more efficient information retrieval and information processing. Conventionally, web text documents are represented by term frequency matrix for classification purpose. However, considering the limitations of representing documents using terms or keywords, we propose to represent web pages using information extraction patterns that are identified within the pages respectively. In this paper, we present the results as well as the findings obtained from our preliminary experiments. Our experimental results indicate that the existence of a word in different contexts has different impact to the classification task. Thus, the extraction patterns used to represent each document are more semantically meaningful and give better insight to web classification in comparison with keywords.

AB - Web page classification plays an essential role in facilitating more efficient information retrieval and information processing. Conventionally, web text documents are represented by term frequency matrix for classification purpose. However, considering the limitations of representing documents using terms or keywords, we propose to represent web pages using information extraction patterns that are identified within the pages respectively. In this paper, we present the results as well as the findings obtained from our preliminary experiments. Our experimental results indicate that the existence of a word in different contexts has different impact to the classification task. Thus, the extraction patterns used to represent each document are more semantically meaningful and give better insight to web classification in comparison with keywords.

KW - Decision tree

KW - Information extraction

KW - Information gain

KW - Web classification

KW - Web mining

UR - http://www.scopus.com/inward/record.url?scp=79952541239&partnerID=8YFLogxK

U2 - 10.1109/SITIS.2010.42

DO - 10.1109/SITIS.2010.42

M3 - Conference Paper

AN - SCOPUS:79952541239

SN - 9780769543192

SP - 195

EP - 202

BT - Proceedings of the 6th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2010

T2 - International Conference on Signal Image Technology & Internet Based Systems 2010

Y2 - 15 December 2010 through 18 December 2010

ER -

Classifying web pages using information extraction patterns - Preliminary results and findings

Abstract

Conference

Keywords

Access to Document

Other files and links

Cite this