- From: Luciano, Joanne S. <jluciano@mitre.org>
- Date: Mon, 10 Nov 2008 22:22:26 -0500
- To: "Kei Cheung" <kei.cheung@yale.edu>, "eric neumann" <ekneumann@gmail.com>
- Cc: "Maged N.K. Boulos" <mnkboulos@gmail.com>, <public-semweb-lifesci@w3.org>
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:kei.cheung@yale.edu] >Sent: Monday, November 10, 2008 1:21 PM >To: eric neumann >Cc: Luciano, Joanne S.; Maged N.K. Boulos; public-semweb-lifesci@w3.org >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. >> <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 &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 z >> ><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] >> >> >> > >> >> >
Received on Tuesday, 11 November 2008 03:25:22 UTC