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HTML2RSS: automatic generation of RSS feed based on structure analysis of HTML document
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Source International World Wide Web Conference archive
Proceedings of the 15th international conference on World Wide Web table of contents
Edinburgh, Scotland
POSTER SESSION: Browsers and UI, web engineering, hypermedia & multimedia, security, and accessibility table of contents
Pages: 1061 - 1062  
Year of Publication: 2006
ISBN:1-59593-323-9
Authors
Tomoyuki Nanno  Tokyo Institute of Technology, Yokohama Kanagawa JAPAN
Manabu Okumura  Tokyo Institute of Technology, Yokohama Kanagawa JAPAN
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present a system to automatically generate RSS feeds from HTML documents that consist of time-series items with date expressions, e.g., archives of weblogs, BBSs, chats, mailing lists, site update descriptions, and event announcements. Our system extracts date expressions, performs structure analysis of a HTML document, and detects or generates titles from the document.


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.

 
1
M. R. Henzinger, R. Motwani, and C. Silverstein. Challenges in web search engine. In Proc. International Joint Conference on Artificial Intelligence, pages 1573--1579, 2003.
 
2
D. R. Karger and D. Quan. What would it mean to blog on the semantic web? In Proc. Third International Semantic Web Conference, pages 214--228, 2004.
3

Collaborative Colleagues:
Tomoyuki Nanno: colleagues
Manabu Okumura: colleagues