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Dynamic structuring of web information for access visualization
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Source Symposium on Applied Computing archive
Proceedings of the 2002 ACM symposium on Applied computing table of contents
Madrid, Spain
SESSION: Multimedia and visualization table of contents
Pages: 778 - 784  
Year of Publication: 2002
ISBN:1-58113-445-2
Authors
Jess Y. S. Mak  Hong Kong Polytechnic University, Hong Kong
Hong Va Leong  Hong Kong Polytechnic University, Hong Kong
Alvin T. S. Chan  Hong Kong Polytechnic University, Hong Kong
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 19,   Citation Count: 2
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ABSTRACT

The Internet has led to the formation of a global information infrastructure. To explore a web site, a site map would be useful as a short cut for a user to locate for the target information in a structured and efficient manner, rather than drilling into the web site following hyperlinks, reading possibly irrelevant information. Useless information impacts a mobile web environment, where mobile clients are only connected with unreliable wireless channels of limited bandwidth. Structured web page organization at the web server proxy is an important issue to resolve to provide efficient browsing experience for web clients, while minimizing the browsing of unrelated pages or sites. In this paper, we adopt the Document Information Extraction mechanism to construct a document cluster dynamically and intelligently with respect to a requested root web page. The document cluster works like a dynamic site map, spanning across several web sites. The clusters are generated and stored in XML format at proxy server so that it can potentially benefit a large number of mobile clients. Clients process the XML clusters and transform them to be visualized through VRML or DOM. For VRML, a transformer is built at the client-side to support a three-dimensional modeling view. For DOM, JavaScript is used for accessing the parsed XML data to produce a two-dimensional tree output.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Jess Y. S. Mak: colleagues
Hong Va Leong: colleagues
Alvin T. S. Chan: colleagues