Re: Vispedia: Interactive Visual Exploration of Wikipedia Data via Search-Based Integration

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. <jluciano@mitre.org>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: public-semweb-lifesci-request@w3.org [mailto:public-semweb-
> >lifesci-request@w3.org] On Behalf Of Kei Cheung
> >Sent: Sunday, November 09, 2008 10:31 PM
> >To: Maged N.K. Boulos
> >Cc: public-semweb-lifesci@w3.org
> >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
> 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]
> >>
> >
>
>