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Enabling web browsers to augment web sites' filtering and sorting functionalities
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Source Symposium on User Interface Software and Technology archive
Proceedings of the 19th annual ACM symposium on User interface software and technology table of contents
Montreux, Switzerland
SESSION: Browsing & scrolling table of contents
Pages: 125 - 134  
Year of Publication: 2006
ISBN:1-59593-313-1
Authors
David F. Huynh  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
Robert C. Miller  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
David R. Karger  MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, MA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 103,   Citation Count: 13
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APPENDICES and SUPPLEMENTS
Zipp125-slides.zip (23.37 MB),
Supplemental material for Enabling web browsers to augment web sites' filtering and sorting functionalities


ABSTRACT

Existing augmentations of web pages are mostly small cosmetic changes (e.g., removing ads) and minor addition of third-party content (e.g., product prices from competing sites). None leverages the structured data presented in web pages. This paper describes Sifter, a web browser extension that can augment a well-structured web site with advanced filtering and sorting functionality. These added features work inside the site's own pages, preserving the site's presentational style and the user's context. Sifter contains an algorithm that scrapes structured data out of well-structured web pages while usually requiring no user intervention. We tested Sifter on real web sites and real users and found that people could use Sifter to perform sophisticated queries and high-level analyses on sizable data collections on the Web. We propose that web sites can be similarly augmented with other sophisticated data-centric functionality, giving users new benefits over the existing Web.


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
Evaluation of Sifter's data extraction algorithm. http://people.csail.mit.edu/dfhuynh/research/papers/uist2006-augmenting-web-sites-stats.pdf.
 
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Greasemonkey. http://greasemonkey.mozdev.org/.
 
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Piggy Bank. http://simile.mit.edu/piggy-bank/.
 
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Resource Description Framework (RDF)/W3C SemanticWeb Activity. http://www.w3.org/RDF/.
 
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XML Path Language (XPath) Version 1.0. http://www.w3.org/TR/xpath.
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Huynh, D., S. Mazzocchi, and D. Karger. Piggy Bank: experience the Semantic Web inside your Web browser. ISWC 2005.
 
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Joachims, T., D. Freitag, and T. Mitchell. WebWatcher: a tour guide for the World Wide Web. IJCAI 1997.
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Quan, D., D. Huynh, and D. Karger. Haystack: a platform for authoring end-user Semantic Web applications. ISWC 2003.
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CITED BY  13

Collaborative Colleagues:
David F. Huynh: colleagues
Robert C. Miller: colleagues
David R. Karger: colleagues