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

From: eric neumann <ekneumann@gmail.com>
Date: Mon, 10 Nov 2008 23:28:41 -0500
Message-ID: <92e86c7d0811102028l69d87799r6da17317bf2f3e23@mail.gmail.com>
To: "Luciano, Joanne S." <jluciano@mitre.org>
Cc: "Kei Cheung" <kei.cheung@yale.edu>, "Maged N.K. Boulos" <mnkboulos@gmail.com>, public-semweb-lifesci@w3.org
Almost Joanne, if the JSON includes property and type descriptions then
Exhibit can do more with it.
I raised the possibility basically because it would be nice to
more precisely bridge the SW and Web 2.0 notions around mash-ups. A data set
from neuroscience seems to me to be a logical example for us (HCLS) to work
with.

Another way of putting it: Linked Biomed data + analytical mash-up tools
(also would be good to take some of the statistical findings and link them
back to the data set...)

-Eric

On Mon, Nov 10, 2008 at 10:22 PM, Luciano, Joanne S. <jluciano@mitre.org>wrote:

> Eric,
>
> FWIW, I noticed that Vispedia has a export to JSON to me that implies
> that data from wiki/DBpedia can be exported and then included into
> Exhibit mashups.  Is that correct?
>
> Joanne
>
> >-----Original Message-----
> >From: Kei Cheung [mailto:kei.cheung@yale.edu]
> >Sent: Monday, November 10, 2008 1:21 PM
> >To: eric neumann
> >Cc: Luciano, Joanne S.; Maged N.K. Boulos;
> public-semweb-lifesci@w3.org
> >Subject: Re: Vispedia: Interactive Visual Exploration of Wikipedia
> Data
> >via Search-Based Integration
> >
> >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
> & <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
> &f<http://vispedia.stanford.edu/vis/353/Scatterplot#/?cp0=0&f0=Age&cp1=0&f>
> >1>
> >>
> >>=Incidence%20(new%20affected)%20%20per%20thousand%20%20person%C3%A2%C
> 2
> >>     %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=Entre
> z
> >>
> ><http://www.ncbi.nlm.nih.gov/pubmed/18988966?ordinalpos=1&itool=Entrez
> >
> >>     Sy
> >>
> >>stem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_DefaultReportPanel.Pu
> b
> >>     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 Tuesday, 11 November 2008 04:29:18 UTC

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