9th Joint International Conference on Information Sciences (JCIS-06)

Constructing Hierarchical Topic Knowledge Window for Chinese News Browsing and Retrieval

Authors
Sheng-Fu Chang 0
Corresponding Author
Sheng-Fu Chang
0Department of Information Management
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.251How to use a DOI?
Keywords
Hierarchical Knowledge Structure, Event Detection and Tracking, Association Rules
Abstract
This paper proposes an event-based hierarchical knowledge structure for Chinese news display. We apply Hierarchical Topic Detection and Tracking technique to group news reports into clusters. Considering the extensibility of events, the knowledge structure is designed with robustness to merge similar reports and reorganize the structure automatically. This brings the merit of tracking associated follow-up event. To verify the applicable features, we design an assessing mechanism and call for participation for two weeks. There are 75 percent of participants expressing their high remarks on visualized knowledge expression. Eighty-two percent of participants consider the event heading is meaningful and acceptable. Over 90 percent of participants consider this study to be applicable.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.251How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Sheng-Fu Chang
PY  - 2006/10
DA  - 2006/10
TI  - Constructing Hierarchical Topic Knowledge Window for Chinese News Browsing and Retrieval
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.251
DO  - https://doi.org/10.2991/jcis.2006.251
ID  - Chang2006/10
ER  -