I'm glad you picked that up, Joanne. You're right that the scatter plot was not correctly generated, as the X and Y axes require numerical values. In the example table, the age ranges are not interpreted by Vispedia as numerical values. To address this issue, I used Vispedia to generate a different plot whose link was included in a follow-up email (I also included the link below). In this new plot, the X axis corresponds to the incidence rates, while the age ranges are used to label the points.

http://vispedia.stanford.edu/index.php/vis/353/AnyLine#/?cp0=0&f0=Incidence%20(new%20affected)%20%20per%20thousand%20%20person%C3%A2%C2%80%C2%93years&cp1=0&f1=Age&cp2=0&f2=&cp3=0&f3=&cp4=0&f4=

I've tried more sophisticated tables like the one included in the following Wikipedia page (see the Data section):

http://en.wikipedia.org/wiki/Image:Rational_scale_to_assess_the_harm_of_drugs_(mean_physical_harm_and_mean_dependence).svg

I couldn't get Vispedia to work on plotting the drug abuse data listed in this table. Perhaps I should relay this problem to the Vispedia team.

Cheers,

-Kei

Luciano, Joanne S. wrote:
This is the Wikipedia data:

Age     Incidence
        (new affected)
        per thousand
        person–years
65–69    3
70–74    6
75–79    9
80–84   23
85–89   40
90–             69

This is the Vispedia output.  I haven't had time to retrace the
construction ... or to try it myself, but there appears to be a
discrepancy.

This may be a browser issue too, I'm in Firefox.

What's coming out is a plot with (x,y) as follows:

(3,3)
(6, 6)
(9,9)
(23,23)
(40,40)

Here's a paste:
X
[ Age ]
        
Y
[ Incidence (new affected) per thousand person–years ]
Age: 65–69 → Age: 0 → Incidence (new affected) per thousand
person–years: 3.03.0
        
Incidence (new affected) per thousand person–years: 3.03.0
Age: 70–74 → Age: 1 → Incidence (new affected) per thousand
person–years: 6.06.0
        
Incidence (new affected) per thousand person–years: 6.06.0
Age: 75–79 → Age: 2 → Incidence (new affected) per thousand
person–years: 9.09.0
        
Incidence (new affected) per thousand person–years: 9.09.0
Age: 80–84 → Age: 3 → Incidence (new affected) per thousand
person–years: 23.023.0
        
Incidence (new affected) per thousand person–years: 23.023.0
Age: 85–89 → Age: 4 → Incidence (new affected) per thousand
person–years: 40.040.0
        
Incidence (new affected) per thousand person–years: 40.040.0
Age: 90– → Age: 5 → Incidence (new affected) per thousand person–years:
69.069.0
        
Sorry I wasn't able to take the time to provide more answers than
questions....

Joanne

-----Original Message-----
From: [EMAIL PROTECTED] [mailto:public-semweb-
[EMAIL PROTECTED] On Behalf Of Kei Cheung
Sent: Sunday, November 09, 2008 10:31 PM
To: Maged N.K. Boulos
Cc: [email protected]
Subject: Re: Vispedia: Interactive Visual Exploration of Wikipedia
Data
via Search-Based Integration


Hi Maged,

Thanks for sharing the paper. It's very interesting work incorporating
analysis and visualization into wiki. I also found the following demo
video:

http://graphics.stanford.edu/projects/vispedia/vispedia-trailer-tr.mov

Just for fun, I searched for "Alzheimer" in Wikipedia and it brought
me
to the Alzeihmer's disease page. In the Epidemiology section, there is
a
table listing AD incidence rates after 65 years of age. I used
vispedia
to visualize this table and create the following scatter plot:

http://vispedia.stanford.edu/vis/353/Scatterplot#/?cp0=0&f0=Age&cp1=0&;
f1
=Incidence%20(new%20affected)%20%20per%20thousand%20%20person%C3%A2%C2
%8
0%C2%93years&cp2=0&f2=&cp3=0&f3=&cp4=0&f4=

Cheers,

-Kei

Maged N.K. Boulos wrote:

Given the recent interests of some members of this list in Wiki
applications like WikiNeuron and novel information visualization
techniques, this paper might prove useful and inspiring:
Chan B, Wu L, Talbot J, Cammarano M, Hanrahan P.

<http://www.ncbi.nlm.nih.gov/pubmed/18988966?ordinalpos=1&itool=Entrez
Sy
stem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_DefaultReportPanel.Pub
me
d_RVDocSum>
*Vispedia: Interactive Visual Exploration of Wikipedia Data via
Search-Based Integration*.
/IEEE Trans Vis Comput Graph/. 2008
November-December;14(6):1213-1220.
Stanford University.

Wikipedia is an example of the collaborative, semi-structured data
sets emerging on the Web. These data sets have large, non-uniform
schema that require costly data integration into structured tables
before visualization can begin. We present Vispedia, a Web-based
visualization system that reduces the cost of this data
integration.&#xD;Users can browse Wikipedia, select an interesting
data table, then use a search interface to discover, integrate, and
visualize additional columns of data drawn from multiple Wikipedia
articles. This interaction is supported by a fast path search
algorithm over DBpedia, a semantic graph extracted from Wikipedia's
hyperlink structure. Vispedia can also export the augmented data
tables produced for use in traditional visualization systems. We
believe that these techniques begin to address the "long tail" of
visualization by allowing a wider audience to visualize a broader
class of data. We evaluated this system in a first-use formative lab
study. Study participants were able to quickly create effective
visualizations for a diverse set of domains, performing data
integration as needed.&#xD;

PMID: 18988966 [PubMed - as supplied by publisher]






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