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Re: COVID19 Cross-Domain Linked Dataset

From: Pouya Salehpour <pouyasalehpour@gmail.com>
Date: Sun, 29 Mar 2020 21:22:42 +1100
Message-ID: <CAPUKoBQQb35xMA+C1bC16BXAK=BXv9JBDM_tZZ3U3xmUX--cFA@mail.gmail.com>
To: public-lod@w3.org
Kudos to your efforts. I have also a little doubt about feasibility of
running queries against such a knowledge graph (KG).
I could not run the example query:
http://covid.geog.ucsb.edu:7200/sparql?savedQueryName=Max%20Confirmed%20Cases&owner=admin&execute
due to "QueryTimeoutErrorException". Note the current KG has around 62914
triples (if I am mistaken about the number please correct me) and the given
query is not the most complicated one.



On Sat, Mar 28, 2020 at 7:17 AM Kingsley Idehen <kidehen@openlinksw.com>
wrote:

> On 3/27/20 1:19 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
>
>
> Great stuff !
>
> I'll digest in the coming hours re exposure and integration into some of
> the pieces we've been putting together etc..
>
> Others:
>
> The more of this the better.
>
> We are a unique situation where the work produced by this community is
> going to provide tangible and practical benefits towards the fight
> against this terrible COVID-19 pandemic.
>
> May the Linked Open Data FORCE be with you all :)
>
> --
> Regards,
>
> Kingsley Idehen
> Founder & CEO
> OpenLink Software
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>
>
>
Received on Sunday, 29 March 2020 10:24:51 UTC

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