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Re: COVID19 Cross-Domain Linked Dataset

From: Blake Regalia <blake.regalia@gmail.com>
Date: Fri, 27 Mar 2020 12:10:57 -0700
Message-ID: <CANMU0MEoDs8VOGD-N26G6-MHEM70-Rw3ta8WnMOU0_wJRw5kfA@mail.gmail.com>
To: Oscar Corcho <ocorcho@fi.upm.es>
Cc: Krzysztof Janowicz <janowicz@ucsb.edu>, "public-lod@w3.org" <public-lod@w3.org>, "semantic-web@w3.org" <semantic-web@w3.org>, Kingsley Idehen <kidehen@openlinksw.com>
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> 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>
> 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
> Webpage: http://geog.ucsb.edu/~jano/
> Semantic Web Journal: http://www.semantic-web-journal.net
>
>
>
>
Received on Friday, 27 March 2020 19:11:26 UTC

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