Re: COVID19 Cross-Domain Linked Dataset

Dear all,

if you want to explore and query the UCSD dataset without the
burden of writing SPARQL queries and with full freedom,
here is a Sparklis view over it.

https://rebrand.ly/kw5ejwq

Here is an example query ranking locations by decreasing
maximal number of confirmed cases, along with maximal
number of deaths, and a computation of the corresponding
death rate.

https://rebrand.ly/anph5ef

The data looks a bit outdated as France, for instance, has passed
40,000 confirmed cases, rather than 14,000.

Take care, and stay home if you can!

Sébastien


On 03/27/2020 06:19 PM, Krzysztof Janowicz wrote:
> Dear all,
> 
> This is an update on our open knowledge graph about COVID-19.
> 
> In our knowledge graph, we have:
>    (1). COVID19 cases for countries and regions (data from Johns Hopkins 
> University)
>    (2). Airlines that are suspended due to COVID19 (data are partially 
> donated from Aviation Edge and partially from manual collection)
>    (3). Quarantine policies across the world (manually collected)
>    (4). Relief aids from NGO (manually collected)
>    (5). Regions on multiple levels
>    (6). Local event data such as cancellations (so far by example only)
>    (7). Supply chain disruptions (so far by example only)
> 
> We are  updating our KG by adding more resources. Examples include:
>   (1). Supply chains from wikidata
>   (2). Virus strain data (we are collaborating with UCSD on this part 
> right now)
>   (3). Research articles from Kaggle (Thanks to Pieter, we will 
> integrate your KG to ours)
> 
> This KG can be visualized at:
> http://covid.geog.ucsb.edu:7200/graphs-visualizations?config=48691118befc47e4a6a6aabde78cd73d 
> 
> 
> Example query: 
> http://covid.geog.ucsb.edu:7200/sparql?savedQueryName=Max%20Confirmed%20Cases&owner=admin&execute 
> 
> 
> Query endpoint: http://covid.geog.ucsb.edu:7200/sparql and 
> http://covid.geog.ucsb.edu:7200/repositories/COVID-19
> 
> Raw RDF: use the export at http://covid.geog.ucsb.edu:7200/graphs
> 
> Please keep in mind that we are constantly changing the data and even 
> the underlying ontology; things will break at times.
> 
> We hope this can be another initiative for our community to contribute 
> to such a global challenge. Any suggestions and/or interests of 
> collaborations are *most* welcome.
> 
> Krzysztof
>

Received on Sunday, 29 March 2020 20:05:08 UTC