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Enabling access to geo-referenced information: Atlas.txt
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Source
ACM International Conference Proceeding Series; Vol. 317 archive
Proceedings of the 2008 international cross-disciplinary conference on Web accessibility (W4A) table of contents
Beijing, China
SESSION: Accessibility and the community table of contents
Pages 101-104  
Year of Publication: 2008
ISBN:978-1-60558-153-8
Authors
Kavita E. Thomas  University of Aberdeen, Scotland
Livia Sumegi  Carleton University, Canada
Leo Ferres  Carleton University, Canada
Somayajulu Sripada  University of Aberdeen, Scotland
Sponsors
: Zakon Group
: Google
SIGACCESS: ACM Special Interest Group on Accessible Computing
Microsoft : Microsoft
: The Mozilla Foundation
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present Atlas.txt, a novel data-to-text natural language generation system which enables access to geo-referenced information like online census data. We first discuss initial findings from an accessibility study on geo-referenced data and outline needs requirements for visually-impaired users of such data. We then present work towards realising our data-to-text system and indicate how it aims to address this issue.


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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K. Thomas and S. Sripada. Atlas.txt: First steps towards bridging the gap between geo-referenced data and text. Proceedings of the 11th European Workshop on Natural Language Generation, 2007.
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Collaborative Colleagues:
Kavita E. Thomas: colleagues
Livia Sumegi: colleagues
Leo Ferres: colleagues
Somayajulu Sripada: colleagues