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

From: Kei Cheung <kei.cheung@yale.edu>
Date: Mon, 10 Nov 2008 13:21:03 -0500
To: eric neumann <ekneumann@gmail.com>
Cc: "Luciano, Joanne S." <jluciano@mitre.org>, "Maged N.K. Boulos" <mnkboulos@gmail.com>, public-semweb-lifesci@w3.org
Message-id: <49187B8F.9040002@yale.edu>

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. 
> <jluciano@mitre.org <mailto: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>
>     [mailto:public-semweb- <mailto:public-semweb->
>     >lifesci-request@w3.org <mailto: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
>     <mailto: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
>     <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]
>     >>
>     >
>
>
Received on Monday, 10 November 2008 18:22:01 UTC

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