- From: Kei Cheung <kei.cheung@yale.edu>
- Date: Mon, 10 Nov 2008 13:21:03 -0500
- 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
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>> 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- <mailto:public-semweb-> > >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> > >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& > f1 > <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 > %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=Entrez > <http://www.ncbi.nlm.nih.gov/pubmed/18988966?ordinalpos=1&itool=Entrez> > Sy > >stem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_DefaultReportPanel.Pub > 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] > >> > > > >
Received on Monday, 10 November 2008 18:22:01 UTC