- From: Kei Cheung <kei.cheung@yale.edu>
- Date: Sun, 09 Nov 2008 23:23:41 -0500
- 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.
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] >> > >
Received on Monday, 10 November 2008 04:24:29 UTC