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Re: COVID19 Cross-Domain Linked Dataset

From: Dr. Sanju Tiwari <sanju.tiwari.2007@gmail.com>
Date: Tue, 5 May 2020 11:33:19 +0530
Message-ID: <CAOprRZLW+jm2mwPCzEgTerHnbWaLEjv5Yf6mANb9G561rYkXKQ@mail.gmail.com>
To: Juan Sequeda <juanfederico@gmail.com>
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>
Dear All

Is there any projection model to predict the cases and circumstances in
upcoming days. As I d not so have found there are only three and not so
organized.

https://covid19.healthdata.org/united-states-of-america (Not showing for
all countries)
http://pracriti.iitd.ac.in/ (very limited showing only for India)
http://www.people.vcu.edu/~tndinh/covid19/en/ (not projecting)

Kindly let me know if anyone have better projection models



On Fri, Apr 3, 2020 at 10:31 AM Juan Sequeda <juanfederico@gmail.com> wrote:

> All,
>
> We compiled all the COVID-19 datasets that have been published on
> data.world: https://data.world/resources/coronavirus/
>
> Even though these datasets are tabular, they can be queried in SPARQL. The
> tabular data is represented in RDF following W3C CSVW. You can run SPARQL
> and SQL queries directly in data.world or through the api:
>
> https://apidocs.data.world/api/queries/sparqlget
> https://apidocs.data.world/api/queries/sqlget
>
> Hope you find this data useful!
>
> --
> Juan Sequeda, Ph.D
> www.juansequeda.com
>
>
> On Wed, Apr 1, 2020 at 1:35 AM Dr. Sanju Tiwari <
> sanju.tiwari.2007@gmail.com> wrote:
>
>> Dear All
>>
>> I am trying to analyse COVID-19 data of India on this link:
>> https://covid.geog.ucsb.edu/browse/#covid19-country:IN
>>
>> But I noticed it is showing till 21March only while Johns Hopkin and
>> wikipedia website gives till 31st March. I have to analyze from all three
>> sites to check the equality of data.
>>
>>
>> https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases#metadata-0
>> (John Hopkins)
>>
>>
>> https://en.wikipedia.org/wiki/2020_coronavirus_pandemic_in_India#cite_note-336
>> (WikiPedia)
>>
>> Please help me to get data till 31st March.
>>
>> Thanks in advance.
>>
>>
>>
>> On Fri, Mar 27, 2020 at 10:55 PM Krzysztof Janowicz <janowicz@ucsb.edu>
>> 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
>>>
>>> --
>>> 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
>>>
>>>
>>>
>>
>> --
>> Regards
>> Dr. Sanju Tiwari
>> PhD, Post-Doc(Ontology Engineering Group, UPM, Madrid)
>> Member IEEE
>> Member Machine Intelligence Research Labs(MIR Lab), USA
>>
>>
>>
>>
>>

-- 
Regards
Dr. Sanju Tiwari
PhD, Post-Doc(Ontology Engineering Group, UPM, Madrid)
Member IEEE
Member Machine Intelligence Research Labs(MIR Lab), USA
Received on Tuesday, 5 May 2020 06:05:11 UTC

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