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

From: Kei Cheung <kei.cheung@yale.edu>
Date: Sun, 09 Nov 2008 23:23:41 -0500
Message-ID: <4917B74D.1010500@yale.edu>
To: "Maged N.K. Boulos" <mnkboulos@gmail.com>
CC: public-semweb-lifesci@w3.org

I sent a wrong link for the plot, the correct link is as follows:

http://vispedia.stanford.edu/index.php/vis/353/AnyLine#/?cp0=0&f0=Incidence%20(new%20affected)%20%20per%20thousand%20%20person%C3%A2%C2%80%C2%93years&cp1=0&f1=Age&cp2=0&f2=&cp3=0&f3=&cp4=0&f4=

The original data table is shown at: 
http://en.wikipedia.org/wiki/Alzheimer#Epidemiology

-Kei


Kei Cheung wrote:

>
> 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=Incidence%20(new%20affected)%20%20per%20thousand%20%20person%C3%A2%C2%80%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=EntrezSystem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_DefaultReportPanel.Pubmed_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 04:24:29 GMT

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