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

From: Kei Cheung <kei.cheung@yale.edu>
Date: Tue, 11 Mar 2008 11:04:29 -0400
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: <47D69F7D.7050205@yale.edu>

This JSON/RDF serialization specification might be related:

http://www.semanticscripting.org/SFSW2008/papers/16.pdf

-Kei

eric neumann wrote:
> 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 <mailto: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
>     <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 <mailto: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>
>     <mailto: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-lifesci-request@w3.org
>     <mailto:public-semweb-lifesci-request@w3.org>>
>     >>     [mailto:public-semweb- <mailto:public-semweb->
>     <mailto:public-semweb- <mailto:public-semweb->>
>     >>     >lifesci-request@w3.org <mailto:lifesci-request@w3.org>
>     <mailto: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>
>     >>     <mailto: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
>     <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
>     <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 16:05:17 UTC

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