Re: COVID19 Cross-Domain Linked Dataset

Here is a collaborative community underway that might be worth checking out
(co-sponsored by Exaptive and the Bill & Melinda Gates Foundation):

https://covid-19.cognitive.city/cognitive/welcome



On Sun, Mar 29, 2020 at 12:54 PM Sören Auer <auer@l3s.de> wrote:

> Dear all,
>
> It would be amazing, if we as a community can contribute in some way to
> fight COVID19.
>
> We also started integrating some COVID related research findings into
> the Open Research Knowledge Graph, aiming at giving researchers a better
> comparative overview on the state of the art. Here you can see a
> comparative survey on R0 reproductive number estimates from different
> studies and some corresponding visualizations:
>
> https://www.orkg.org/orkg/comparison/R12251
>
> https://vitalis-wiens.github.io/ChartVisTest/
>
> Please let us know if you have any ideas or would like to contribute.
>
> Best,
>
> Sören
>
>
> On 27.03.2020 20:10, Blake Regalia wrote:
> > Following up on what Krzysztof posted:
> >
> > We have put some basic information and examples from our COVID-19
> > knowledge graph up on the website here:
> > https://covid.geog.ucsb.edu/
> >
> > Thanks
> >  - Blake Regalia
> >
> >
> > On Fri, Mar 27, 2020 at 10:45 AM Oscar Corcho <ocorcho@fi.upm.es
> > <mailto:ocorcho@fi.upm.es>> wrote:
> >
> >     Thanks Kryzstof,
> >
> >     If anyone needs also a SOLR index of all the papers from the
> >     CORD-19/Kaggle dataset to build things on top of and prefers not to
> >     setup its own one, we have made this one available in one of our
> >     servers. If you are planning to make use of it, let us know, so that
> >     we can be alert in case that the service goes down (the amount of
> >     cyberattacks to our servers in Madrid has been growing constantly
> >      during this last week, which goes on top of the set of humanitarian
> >     and health problems that we have here in Spain).
> >
> >     https://librairy.linkeddata.es/data/covid/select?q=*:*
> >
> >     This index contains not only the raw data available in
> >     CORD-19/Kaggle, but also the results of annotating the papers with
> >     ATC codes (drugs and their combinations that have been reported in
> >     the papers) and diagnoses and tests that have been obtained with
> >     CliNER. We will be adding more types of annotations.
> >
> >     We have also generated a probabilistic topic model with this corpus
> >     based on the ATC codes, in case that anyone wants to exploit it as
> >     well: http://librairy.linkeddata.es/covid19-model/
> >
> >     We will also be providing RDF versions of some of this data that can
> >     be joined with the data made available by the Ghent folks and by
> >     you, if you wish.
> >
> >     Oscar and the rest of the team (Carlos Badenes, Pablo Calleja,
> >     Mariano Rico)
> >
> >     --
> >     Oscar Corcho
> >     Ontology Engineering Group
> >     Departamento de Inteligencia Artificial
> >     ETSI Informáticos
> >     Universidad Politécnica de Madrid
> >     Campus de Montegancedo, sn
> >     28660 Boadilla del Monte, Madrid
> >     Tel: +34 910672911
> >
> >
> >
> >
> >>     El 27 mar 2020, a las 18:19, Krzysztof Janowicz <janowicz@ucsb.edu
> >>     <mailto:janowicz@ucsb.edu>> escribió:
> >>
> >>     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
> >>
> >>     --
> >>     Krzysztof Janowicz
> >>
> >>     Geography Department, University of California, Santa Barbara
> >>     4830 Ellison Hall, Santa Barbara, CA 93106-4060
> >>
> >>     Email: jano@geog.ucsb.edu <mailto:jano@geog.ucsb.edu>
> >>     Webpage: http://geog.ucsb.edu/~jano/
> >>     Semantic Web Journal: http://www.semantic-web-journal.net
> >>
> >>
> >
>
>
> --
David McDonell Co-founder & CEO ICONICLOUD, Inc. "Illuminating the cloud"
M: 703-864-1203 EM: david@iconicloud.com URL: http://iconicloud.com