I am giving a talk on Friday where I want to show the power and wow! of the Semantic Web applied to Science through an online example. I’d be keen on a DBPedia example (along the lines of http://wiki.dbpedia.org/OnlineAccess#h28-5 with “All soccer players, who played as goalkeeper for a club that has a stadium with more than 40.000 seats and who are born in a country with more than 10 million inhabitants”) but with a scientific content. But even this no longer works.
I have a general audience so I don’t want to talk through raw SPARQL (although I’ll hack it if necessary as long as there is an answer). I need something that can be demo’ed in a minute at most. In the medium term we will be able to hack this with molecules as we will be contributing Open RDF for molecules and structures.
The advantage of DBPedia (and to a lesser extent the whole LOD cloud) is that it has not been planned and I’d be grateful for examples that reflect this.
Any help will of course be acknowledged.
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Pingback: Twitter Trackbacks for Unilever Centre for Molecular Informatics, Cambridge - Examples of ...: I am giving a talk on Friday where I want ... [cam.ac.uk] on Topsy.com
May I suggest you do a quick search through the Bio2RDF data?
It’s nothing but scientific data, so should satisfy that piece of your goal. I don’t have a sample query for you — but you can quickly search for a string like “caffeine”, click on “Types” (under Navigation) and “bio2rdf:ns/kegg#Drug” (since you want to know something about it as a Drug…), and then on “Distinct Values with Counts” (under Navigation again) to see the 10 Drugs (according to the kegg namespace) with “caffeine” in their names, and how many times each is cited within the Bio2RDF data set…
If you decide one is particularly interesting, say “Caffeine (JP15) [dr:D01453]”, bio2rdf:dr:D01453, you can click on that link to get a list of the 4 references, and again to get this page which may be sufficiently interesting for your 1 minute demo…
oh! I failed to provide a link to my starting point…
Pingback: Semantically rich molecules « Henry Rzepa
I see a ping-back has appeared on this topic from myself. I had posted a comment here earlier, but “technical difficulties” resulted in its loss. I had wanted to alert to an example of what I called a semantically rich molecule, not so much because its a good example of the semantic web in action, as it being an illustration of how connections between different properties of molecules can be difficult for humans to make, and how machines might be able to help. The example arose out of my writing a lecture course, and the exhortation by the director of studies here to produce “synoptic” (i.e. joined up) materials. I had realized that a rich vein of data and information exists which has not been so joined up. To see my post, go here.