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International Workshop on Challenges in Web Information Retrieval and Integration
Building A Document Class Hierarchy for Obtaining More Proper Bibliographies from Web
Tokyo, Japan
April 08-April 09
ISBN: 0-7695-2414-1
ASCII Text
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Daling Wang, Ge Yu, Minghan Hu, Yubin Bao, Meng Zhang, "Building A Document Class Hierarchy for Obtaining More Proper Bibliographies from Web," Challenges in Web Information Retrieval and Integration, International Workshop on, pp. 214-219, International Workshop on Challenges in Web Information Retrieval and Integration, 2005.
 
 
BibTex
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@article{ 10.1109/WIRI.2005.13,
author = {Daling Wang and Ge Yu and Minghan Hu and Yubin Bao and Meng Zhang},
title = {Building A Document Class Hierarchy for Obtaining More Proper Bibliographies from Web},
journal ={Challenges in Web Information Retrieval and Integration, International Workshop on},
volume = {0},
year = {2005},
isbn = {0-7695-2414-1},
pages = {214-219},
doi = {http://doi.ieeecomputersociety.org/10.1109/WIRI.2005.13},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Challenges in Web Information Retrieval and Integration, International Workshop on
TI - Building A Document Class Hierarchy for Obtaining More Proper Bibliographies from Web
SN - 0-7695-2414-1
SP214
EP219
A1 - Daling Wang,
A1 - Ge Yu,
A1 - Minghan Hu,
A1 - Yubin Bao,
A1 - Meng Zhang,
PY - 2005
KW - null
VL - 0
JA - Challenges in Web Information Retrieval and Integration, International Workshop on
ER -
 
Daling Wang, School of Information Science and Engineering, Northeastern University Shenyang 110004, P.R.China
Ge Yu, School of Information Science and Engineering, Northeastern University Shenyang 110004, P.R.China
Minghan Hu, School of Information Science and Engineering, Northeastern University Shenyang 110004, P.R.China
Yubin Bao, School of Information Science and Engineering, Northeastern University Shenyang 110004, P.R.China
Meng Zhang, School of Information Science and Engineering, Northeastern University Shenyang 110004, P.R.China

In order for researchers in scientific and technological fields to find more proper information resources on Web, an auxiliary search structure is proposed, which is a class hierarchy of documents built based on the keywords of the documents. To cover the contents of the document properly, the keywords are extracted by means of mining maximal sequential frequent phrases. In this paper, the concept of maximal sequential frequent phrase is defined, and the corresponding mining algorithm is designed and implemented. The experiments show that keywords extraction using maximal sequential frequent phrase has better F-Measure than that of using traditional TFIDF weight. Moreover, compared with previous works, our extended class hierarchy tree represents a relationship hierarchy either between keywords themselves or between keywords and documents, by which the queries on different professional levels can be supported.

Citation:
Daling Wang, Ge Yu, Minghan Hu, Yubin Bao, Meng Zhang, "Building A Document Class Hierarchy for Obtaining More Proper Bibliographies from Web," wiri, pp.214-219, International Workshop on Challenges in Web Information Retrieval and Integration, 2005
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