Re: COVID19 Cross-Domain Linked Dataset

Dear all,
As part of the W3C AIKR (Artificial Intelligence Knowledge Representation) CG, hailing from a small country which had its economy practically destroyed by the impact of the COVID-19 pandemic, I have been developing a framework, AI driven, for general purpose emergency response and relief, safety nets etc. in line with the Sustainable Development Goals prior to COVID-19.

When COVID-19 hit, it became obvious and necessary to crate an immediate case study.for COVID-19.

I am writing a paper which outlines a framework, titled "A Smart City Framework for Disease Control, utilizing Sensor, Tracing, Tracking, Wearable and Medical Technologies" and want to specifically look at its application to the Travel and Hospitality industries.
The medical technologies component covers testing, point of care delivery of medical services, manufacturing of PPE and devices and the research and development of secondary medication for treatment and vaccines.
The framework aims to limit the necessity of lock-downs, severity of shelter in place and curfew restrictions and aims to make available data, best practices and research findings to all actors relevant in dealing with disease control daily.
To create the framework I have taken a methodology originally designed for food safety, called HACCP, hazard analysis and critical control points and generalized this.
The sensor, tracing, tracking and wearable (smart) technologies are based on using mobile, wireless and IoT technologies, the medical technologies anonymized data sharing and available best practices and research literature.
Knowledge graphs, semantic technologies and general semantization are needed to make sense of the wide range of raw and structured data and text formats.



Milton Ponson
GSM: +297 747 8280
PO Box 1154, Oranjestad
Aruba, Dutch Caribbean
Project Paradigm: Bringing the ICT tools for sustainable development to all stakeholders worldwide through collaborative research on applied mathematics, advanced modeling, software and standards development 

    On Tuesday, May 5, 2020, 3:09:44 AM ADT, Dr. Sanju Tiwari <sanju.tiwari.2007@gmail.com> wrote:  
 
 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/sparqlgethttps://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