Hi Eric,
My personal view is that Exhibit and Vispedia share some common
functionalities including map drawing and data plot generation. Both are
of Web 2.0 style. One main difference I think is that Exhibit is a
standalone Web application, while Vispedia is tightly coupled with
Wikipedia/DBPedia. An interesting comparison would be performance when
data tables become large and complex.
Hope it helps,
-Kei
eric neumann wrote:
Interesting tool to view of data-- curious how it would compare to
Simile's Exhibit, which works with both json and RDF... any takers?
Eric
On Mon, Nov 10, 2008 at 10:05 AM, Luciano, Joanne S.
<[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>> 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 personâ€ÂÂ"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:[EMAIL PROTECTED]>
[mailto:public-semweb- <mailto:public-semweb->
>[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>] On Behalf
Of Kei Cheung
>Sent: Sunday, November 09, 2008 10:31 PM
>To: Maged N.K. Boulos
>Cc: [email protected]
<mailto:[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
<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
<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.
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.
>>
>> PMID: 18988966 [PubMed - as supplied by publisher]
>>
>
