This might be related:
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.
<[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>> 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:[EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>]
>Sent: Monday, November 10, 2008 1:21 PM
>To: eric neumann
>Cc: Luciano, Joanne S.; Maged N.K. Boulos;
[email protected] <mailto:[email protected]>
>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.
>> <[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>
<mailto:[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:[EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>>
>> [mailto:public-semweb- <mailto:public-semweb->
<mailto:public-semweb- <mailto:public-semweb->>
>> >[EMAIL PROTECTED] <mailto:[EMAIL PROTECTED]>
<mailto:[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]>
>> <mailto:[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
&
<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.
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]
>> >>
>> >
>>
>>
>
