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Author:

Liu, Shiguang (Liu, Shiguang.) | Zeng, Hua-Jun (Zeng, Hua-Jun.) | Chen, Zheng (Chen, Zheng.) | Xiao, Chuangbai (Xiao, Chuangbai.) | Ma, Wei-Ying (Ma, Wei-Ying.)

Indexed by:

EI Scopus

Abstract:

In order to help readers grasp key information from web pages within limited time, a novel intelligent user interface for webpage navigation: Keyphrase Navigation Map (KNM) is proposed in this paper, which presents a map to the readers, assisting them to navigate their webpage. First, the key phrases are generated from the webpage and ranked by the keyphrase extraction engine, then they are clustered by keyphrase relevancy, and finally they are shown on the thumbnail according to their relative coordinates in the full page. The usability test proves that the KNM which presents an overview of the corresponding web page to readers can really help them to find information they are interested in effectively. © Springer-Verlag Berlin Heidelberg 2005.

Keyword:

Database systems Information retrieval Navigation systems Websites User interfaces Artificial intelligence

Author Community:

  • [ 1 ] [Liu, Shiguang]College of Computer Science and Technology, Beijing University of Technology, Chaoyang District, Beijing, 100022, China
  • [ 2 ] [Zeng, Hua-Jun]Microsott Research Asia, 49 Zhichun Road, Haidian District, Beijing, 100080, China
  • [ 3 ] [Chen, Zheng]Microsott Research Asia, 49 Zhichun Road, Haidian District, Beijing, 100080, China
  • [ 4 ] [Xiao, Chuangbai]College of Computer Science and Technology, Beijing University of Technology, Chaoyang District, Beijing, 100022, China
  • [ 5 ] [Ma, Wei-Ying]Microsott Research Asia, 49 Zhichun Road, Haidian District, Beijing, 100080, China

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Source :

ISSN: 0302-9743

Year: 2005

Volume: 3689 LNCS

Page: 641-646

Language: English

JCR Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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