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A goal-oriented web browser
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human Factors in computing systems table of contents
Montréal, Québec, Canada
SESSION: Using knowledge to predict and manage table of contents
Pages: 751 - 760  
Year of Publication: 2006
ISBN:1-59593-372-7
Authors
Alexander Faaborg  MIT Media Laboratory, Cambridge, MA
Henry Lieberman  MIT Media Laboratory, Cambridge, MA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 29,   Downloads (12 Months): 149,   Citation Count: 14
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ABSTRACT

Many users are familiar with the interesting but limited functionality of Data Detector interfaces like Microsoft's Smart Tags and Google's AutoLink. In this paper we significantly expand the breadth and functionality of this type of user interface through the use of large-scale knowledge bases of semantic information. The result is a Web browser that is able to generate personalized semantic hypertext, providing a goal-oriented browsing experience.We present (1) Creo, a Programming by Example system for the Web that allows users to create a general-purpose procedure with a single example, and (2) Miro, a Data Detector that matches the content of a page to high-level user goals.An evaluation with 34 subjects found that they were more efficient using our system, and that the subjects would use features like these if they were integrated into their Web browser.


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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Singh, P. The Public Acquisition of Commonsense Knowledge. Proceedings of AAAI Spring Symposium on Acquiring (and Using) Linguistic (and World) Knowledge for Information Access. (2002).
 
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Fellbaum, C. WordNet: An Electronic Lexical Database. MIT Press. Cambridge, Massachusetts. (1998).
 
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TAP: Building the Semantic Web. http://tap.stanford.edu/.
 
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Guha, R., McCool, R. A System for Integrating Web Services into a Global Knowledge Base. http://tap.stanford.edu/sw002.html.
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McCool, R., Guha, R., Fikes, R. Contexts for the Semantic Web. http://tap.stanford.edu/contexts.pdf.
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Lieberman, H. Your Wish is My Command: Programming by Example. Morgan Kaufmann. San Francisco, California. (2001).
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Miller, R., Myers, B. Creating Dynamic World Wide Web Pages by Demonstration. Technical Report CMU-CS-97-131 (and CMU-HCII-97-101), CMU School of Computer Science. (1997).
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Lieberman, H., Liu, H., Singh, P., Barry, B. Beating Some Common Sense into Interactive Applications. AI Magazine, Winter 2004. (2004).
 
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Eagle, N., Singh, P. Context Sensing Using Speech and Common Sense. Proceedings of the NAACL/HLT 2004 Workshop on Higher-Level Linguistic and Other Knowledge for Automatic Speech Processing. (2004).
 
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Kaminski, C. Much Ado About Smart Tags. http://www.alistapart.com/articles/smarttags/.
 
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Mossberg, W. Microsoft Will Abandon Controversial Smart Tags. http://ptech.wsj.com/archive/ptech-20010628.html.
 
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Faaborg, A. A Goal-Oriented User Interface for Personalized Semantic Search. Masters Thesis. Massachusetts Institute of Technology. (2005). http://agents.media.mit.edu/projects/semanticsearch/.

CITED BY  14


REVIEW

"Klaus K. Obermeier : Reviewer"

Web browsing as we know it today suffers from two major shortcomings. First, every browser access starts from scratch; it is not know what went on before, and who wants to access the information requested. Second, the lack of common sense makes br  more...

Collaborative Colleagues:
Alexander Faaborg: colleagues
Henry Lieberman: colleagues