Newsmap: A knowledge map for online news

Thian Huat Ong, Hsinchun Chen, Wai Ki Sung, Bin Zhu

Research output: Contribution to journalArticle

96 Citations (Scopus)

Abstract

Information technology has made possible the capture and accessing of a large number of data and knowledge bases, which in turn has brought about the problem of information overload. Text mining to turn textual information into knowledge has become a very active research area, but much of the research remains restricted to the English language. Due to the differences in linguistic characteristics and methods of natural language processing, many existing text analysis approaches have yet to be shown to be useful for the Chinese language. This research focuses on the automatic generation of a hierarchical knowledge map NewsMap, based on online Chinese news, particularly the finance and health sections. Whether in print or online, news still represents one important knowledge source that people produce and consume on a daily basis. The hierarchical knowledge map can be used as a tool for browsing business intelligence and medical knowledge hidden in news articles. In order to assess the quality of the map, an empirical study was conducted which shows that the categories of the hierarchical knowledge map generated by NewsMap are better than those generated by regular news readers, both in terms of recall and precision, on the sub-level categories but not on the top-level categories. NewsMap employs an improved interface combining a 1D alphabetical hierarchical list and a 2D Self-Organizing Map (SOM) island display. Another empirical study compared the two visualization displays and found that users' performances can be improved by taking advantage of the visual cues of the 2D SOM display.

Original languageEnglish (US)
Pages (from-to)583-597
Number of pages15
JournalDecision Support Systems
Volume39
Issue number4
DOIs
StatePublished - Jun 2005

Fingerprint

Display devices
Self organizing maps
Language
Research
Natural Language Processing
Data Mining
Knowledge Bases
Linguistics
Intelligence
Islands
Competitive intelligence
Cues
Finance
Databases
Technology
Information technology
Visualization
Health
Knowledge map
News

Keywords

  • Experimental research
  • Knowledge management
  • Knowledge map
  • Neural networks
  • Online news

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Information Systems and Management

Cite this

Newsmap : A knowledge map for online news. / Ong, Thian Huat; Chen, Hsinchun; Sung, Wai Ki; Zhu, Bin.

In: Decision Support Systems, Vol. 39, No. 4, 06.2005, p. 583-597.

Research output: Contribution to journalArticle

Ong, Thian Huat ; Chen, Hsinchun ; Sung, Wai Ki ; Zhu, Bin. / Newsmap : A knowledge map for online news. In: Decision Support Systems. 2005 ; Vol. 39, No. 4. pp. 583-597.
@article{48009b1d4fc34308944226c52b128928,
title = "Newsmap: A knowledge map for online news",
abstract = "Information technology has made possible the capture and accessing of a large number of data and knowledge bases, which in turn has brought about the problem of information overload. Text mining to turn textual information into knowledge has become a very active research area, but much of the research remains restricted to the English language. Due to the differences in linguistic characteristics and methods of natural language processing, many existing text analysis approaches have yet to be shown to be useful for the Chinese language. This research focuses on the automatic generation of a hierarchical knowledge map NewsMap, based on online Chinese news, particularly the finance and health sections. Whether in print or online, news still represents one important knowledge source that people produce and consume on a daily basis. The hierarchical knowledge map can be used as a tool for browsing business intelligence and medical knowledge hidden in news articles. In order to assess the quality of the map, an empirical study was conducted which shows that the categories of the hierarchical knowledge map generated by NewsMap are better than those generated by regular news readers, both in terms of recall and precision, on the sub-level categories but not on the top-level categories. NewsMap employs an improved interface combining a 1D alphabetical hierarchical list and a 2D Self-Organizing Map (SOM) island display. Another empirical study compared the two visualization displays and found that users' performances can be improved by taking advantage of the visual cues of the 2D SOM display.",
keywords = "Experimental research, Knowledge management, Knowledge map, Neural networks, Online news",
author = "Ong, {Thian Huat} and Hsinchun Chen and Sung, {Wai Ki} and Bin Zhu",
year = "2005",
month = "6",
doi = "10.1016/j.dss.2004.03.008",
language = "English (US)",
volume = "39",
pages = "583--597",
journal = "Decision Support Systems",
issn = "0167-9236",
publisher = "Elsevier",
number = "4",

}

TY - JOUR

T1 - Newsmap

T2 - A knowledge map for online news

AU - Ong, Thian Huat

AU - Chen, Hsinchun

AU - Sung, Wai Ki

AU - Zhu, Bin

PY - 2005/6

Y1 - 2005/6

N2 - Information technology has made possible the capture and accessing of a large number of data and knowledge bases, which in turn has brought about the problem of information overload. Text mining to turn textual information into knowledge has become a very active research area, but much of the research remains restricted to the English language. Due to the differences in linguistic characteristics and methods of natural language processing, many existing text analysis approaches have yet to be shown to be useful for the Chinese language. This research focuses on the automatic generation of a hierarchical knowledge map NewsMap, based on online Chinese news, particularly the finance and health sections. Whether in print or online, news still represents one important knowledge source that people produce and consume on a daily basis. The hierarchical knowledge map can be used as a tool for browsing business intelligence and medical knowledge hidden in news articles. In order to assess the quality of the map, an empirical study was conducted which shows that the categories of the hierarchical knowledge map generated by NewsMap are better than those generated by regular news readers, both in terms of recall and precision, on the sub-level categories but not on the top-level categories. NewsMap employs an improved interface combining a 1D alphabetical hierarchical list and a 2D Self-Organizing Map (SOM) island display. Another empirical study compared the two visualization displays and found that users' performances can be improved by taking advantage of the visual cues of the 2D SOM display.

AB - Information technology has made possible the capture and accessing of a large number of data and knowledge bases, which in turn has brought about the problem of information overload. Text mining to turn textual information into knowledge has become a very active research area, but much of the research remains restricted to the English language. Due to the differences in linguistic characteristics and methods of natural language processing, many existing text analysis approaches have yet to be shown to be useful for the Chinese language. This research focuses on the automatic generation of a hierarchical knowledge map NewsMap, based on online Chinese news, particularly the finance and health sections. Whether in print or online, news still represents one important knowledge source that people produce and consume on a daily basis. The hierarchical knowledge map can be used as a tool for browsing business intelligence and medical knowledge hidden in news articles. In order to assess the quality of the map, an empirical study was conducted which shows that the categories of the hierarchical knowledge map generated by NewsMap are better than those generated by regular news readers, both in terms of recall and precision, on the sub-level categories but not on the top-level categories. NewsMap employs an improved interface combining a 1D alphabetical hierarchical list and a 2D Self-Organizing Map (SOM) island display. Another empirical study compared the two visualization displays and found that users' performances can be improved by taking advantage of the visual cues of the 2D SOM display.

KW - Experimental research

KW - Knowledge management

KW - Knowledge map

KW - Neural networks

KW - Online news

UR - http://www.scopus.com/inward/record.url?scp=11244311784&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=11244311784&partnerID=8YFLogxK

U2 - 10.1016/j.dss.2004.03.008

DO - 10.1016/j.dss.2004.03.008

M3 - Article

AN - SCOPUS:11244311784

VL - 39

SP - 583

EP - 597

JO - Decision Support Systems

JF - Decision Support Systems

SN - 0167-9236

IS - 4

ER -