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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 22:30:55 -0500
Message-ID: <4917AAEF.5070109@yale.edu>
To: "Maged N.K. Boulos" <mnkboulos@gmail.com>
CC: public-semweb-lifesci@w3.org

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:


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:




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 03:31:42 UTC

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