- From: Sören Auer <auer@l3s.de>
- Date: Sun, 29 Mar 2020 18:50:48 +0200
- To: semantic-web@w3.org
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 >> >> >
Received on Sunday, 29 March 2020 16:51:07 UTC