DocumentCode :
607373
Title :
Algorithms for extracting remarkable points on the Web focusing on topic transition processes aimed at efficient explore support
Author :
Nakamura, Shigenari ; Iguchi, Toshio ; Kaminaga, Hiroaki ; Yokoyama, Shiyoshi ; Miyadera, Youzou
Author_Institution :
Dept. Comput. Sci. & Math., Fukushima Univ., Fukushima, Japan
fYear :
2012
fDate :
3-5 Dec. 2012
Firstpage :
894
Lastpage :
901
Abstract :
In this research, a method to effectively support Web exploring is developed. A promising approach is extraction of topic transition processes on the Web and their visualization. Specifically, this research develops algorithms to cooperatively extract 1) Remarkable points in topic transitions among Web documents and 2) Border lines for clustering Web documents in accordance with topics. This paper mainly describes an outline of the proposed method and an algorithm for extracting the topic changing points. This paper also describes an experiment to evaluate the algorithm. Finally, feature and basic effectiveness of our method are discussed based on the results of the experiment.
Keywords :
Internet; document handling; Web documents; Web exploring; Web focusing; border lines; remarkable point extraction; remarkable points; topic transition processes; Topic extraction; WWW; information visualization; topic transition processes; web exploring support;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing and Convergence Technology (ICCCT), 2012 7th International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0894-6
Type :
conf
Filename :
6530462
Link To Document :
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