Dynamically Generated Scalable Vector Graphics (SVG) for Barrier-free Web-Applications

Wolfram Wöß, Kerstin Altmanninger

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Many graphics used in Web pages are very attractive to the eye and useful for many people. However, with the extensive use of pixel graphics such as charts without textual description or image maps, Web pages are encountering an ever increasing amount of barriers. There are many developments to aid people with visual impairments to gain access to graphics on the Web but most of these techniques are not universally applicable to other disabilities. It is essential that future development concentrates on accommodating all kinds of disabilities. The use of Scalable Vector Graphics (SVG) provides new possibilities as well as new challenges for the accessibility of Web sites. Consequently, this paper introduces a solution to make all graphics accessible to each usergroup, and visualizes them in the resultant prototype Access2Graphics.
Original languageEnglish
Title of host publicationComputers Helping People with Special Needs: 10th International Conference, ICCHP 2006, Linz, Austria, July 11-13, 2006, Proceedings
Editors Klaus Miesenberger, Joachim Klaus, Wolfgang Zagler, Arthur Karshmer
Place of PublicationBerlin Heidelberg
PublisherSpringer Verlag
Pages128-135
Number of pages8
Volume4061/2006
ISBN (Print)3-540-36020-4
DOIs
Publication statusPublished - Jul 2006

Publication series

NameLecture Notes in Computer Science (LNCS)
ISSN (Print)0302-9743

Fields of science

  • 102001 Artificial intelligence
  • 102006 Computer supported cooperative work (CSCW)
  • 102010 Database systems
  • 102014 Information design
  • 102015 Information systems
  • 102016 IT security
  • 102028 Knowledge engineering
  • 102019 Machine learning
  • 102022 Software development
  • 102025 Distributed systems
  • 502007 E-commerce
  • 505002 Data protection
  • 506002 E-government
  • 509018 Knowledge management
  • 202007 Computer integrated manufacturing (CIM)
  • 102033 Data mining
  • 102035 Data science

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