Paper Info
Title
A syntactic analysis of accessibility to a corpus of statistical graphs
Abstract
Designing graphs and charts visually by means of graphing applications such as OpenOffice or MS Excel is extremely efficient and cost-effective. However, one of the drawbacks of such approach is that graphs are sometimes involuntarily made less accessible by, for instance, using a text box as title. In this paper we evaluate a corpus of 120 ecologically-valid statistical graphs for accessibility problems, discuss possible algorithms to solve these problems and finally propose the OM (Object Model) Principle, which states that any digital object is made more accessible by simply using the application's model for that object: for instance, the TITLE field for the title text.
Year
DOI
Venue
2008
10.1145/1368044.1368053
W4A
Keywords
Field
DocType
digital object,accessibility problem,ms excel,possible algorithm,title text,syntactic analysis,graphing application,text box,ecologically-valid statistical graph,title field,object model,cost effectiveness,knowledge representation,ecological validity
Graph,Knowledge representation and reasoning,Computer science,Text box,Object model,Digital object,Artificial intelligence,Natural language processing,Parsing
Conference
Citations 
PageRank 
References 
2
0.37
18
Authors
6
Name
Order
Citations
PageRank
Leo Ferres113518.48
Petro Verkhogliad2343.79
Livia Sumegi31164.48
Louis Boucher4322.75
Martin Lachance5312.40
Gitte Lindgaard6884103.67