Re: COVID-19 Open Research Dataset (CORD-19),

Owen, I will try to locate the original article online from which I got this info of a joint effort to extract in a structured fashion data and information relevant to covid-19 from the growing sea of scientific literature on the subject.
Academically trained and other intelligent people tend to behave  in a tribal fashion, because we as humans are biologically hardwired to do so.
In practice cross-discipline information sharing and truly open access documents still have a long way to go.

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, April 28, 2020, 12:58:48 PM ADT, Owen Ambur <owen.ambur@verizon.net> wrote:  
 
  
Milton, I can't answer your question directly but I can help make it easier to discover the answer, by rendering the goal and objectives of the Allen Institute's project in StratML format at https://stratml.us/drybridge/index.htm#ESOC19 
 
 
If by the "US federal task force" you  mean the National Security Commission for AI, their first-quarter recommendations are available in StratML format at https://stratml.us/drybridge/index.htm#NSCAI
 
If they follow the form implied by the title of their publication, they'll have additional recommendations every three months.  However, if they continue to publish them in non-standard, non-machine-readable format, capabilities like the Allen Institute's will be required to help people make sense of them.
 
 
What I CAN tell you with a high degree of confidence is that the need for AI2's project highlights the reality that supposedly smart people are behaving antisocially by failing to specify and use internationally adopted voluntary consensus standard schemas, like StratML.  If they were doing so, AI2 wouldn't need to use periods (.) as the delimiters for the structure of information.  Instead, each logically separable element would be tagged and query services could take advantage of both the semantics as well as the structure of the "context" (documents) in which they occur.  https://en.wikipedia.org/wiki/Machine-readable_document
 
Reality is what it is ... but we should aim to improve upon it.  The first step is to make reality salient in ways that are comprehensible.  Failing to do so is a symptom of artificial ignorance, in which case the underlying biases and motivations become highly relevant.  https://www.linkedin.com/pulse/artificial-ignorance-owen-ambur/
 
Owen
 
 On 4/28/2020 10:06 AM, ProjectParadigm-ICT-Program wrote:
  
 
  Is this part of the US federal task force doing same?
  
  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, April 28, 2020, 8:59:53 AM ADT, Paola Di Maio <paola.dimaio@gmail.com> wrote:  
  
      
anyone gets a chance to have a go at using this pls share experiences
 thanks 
What is this
 
This a power-tool for performing extractive search, using various query modes. It allows a level of query expressivity and control that is substantially more powerful than existing search solutions.
 
This tool searches over the COVID-19 Open Research Dataset (CORD-19), a free resource of over 50K scholarly articles about COVID-19 and related coronaviruses provided by AI2's Semantic Scholar project.
 
Check out our guide and examples for more detailed information (also available via the Help link above). a free resource of over 50K scholarly articles about COVID-19 and related coronaviruses provided by AI2's Semantic Scholar project.
 
Check out our guide and examples for more detailed information (also available via the Help link above).
  https://spike.covid-19.apps.allenai.org/search/covid19