- From: Melvin Carvalho <melvincarvalho@gmail.com>
- Date: Sat, 21 Mar 2020 20:59:33 +0100
- To: Kingsley Idehen <kidehen@openlinksw.com>
- Cc: Linked Data community <public-lod@w3.org>
- Message-ID: <CAKaEYh+t8b+O5-q75RNLQxThJ8k3FoVUj7vH_1=PXkuvs=9+EA@mail.gmail.com>
On Sat, 21 Mar 2020 at 20:21, Kingsley Idehen <kidehen@openlinksw.com> wrote: > Hi Everyone, > > The world is confronting a global challenge in the form of the COVID19 > disease spread by the SARS_COV_2 virus. > > Data (Measurements), Information (Metrics), and Knowledge (Insights) are > crucial right now, with regards to supporting the needs of drug makers, > healthcare workers, governments, and everyone else dealing the the effects > of this new reality. > > This community produced a massive LODCloud KnowledgeGraph that has been > growing stealthily for years (since 2007), and luckily it includes a > significant segment dedicated to Life Sciences and BioInformatics. > > Let's build on this most powerful asset by integrating with newer data > emerging about the virus, disease it causes. > > I've published a post [1] that provides examples and technical details > about how we can achieve what I am suggesting. > The countries that have been successful in stopping Covid-19 to pervent Sars 2 have used a number of techniques. Widespread testing and reporting -- e.g. South Korea Contact tracing in the fat tail In china they have a QR code to determine the fat tail of different paths of the disease. They change color when you might be on a train that someone else tested positive for. So there is the big data approach, LOD, SPARQL, quadstores And the small data approach, social, personal data, small files, blinding, cryptography, aggregated data The two can combine to give both a global dasboard (website) and personal dashboard (web) app Here's an attempt at an app: https://www.digitaltrends.com/news/this-app-would-tell-you-if-you-crossed-paths-with-the-coronavirus/ But we are just in the foothills of this disease. It's going to get a lot bigger, and come back in waves. Then it will also mutate to create new diseases SAR 3, 4, 5 .... N. Indeed by about the 2030s it will be possible to synthesize such things on relatively inexpensive hardware So fighting Covid-YYYY will become the new normal But I think it's all siloed data. Government will track this centrally. Then you hand over your phone an they track your contacts. Silos all the way down ... > > Links > > [1] > https://community.openlinksw.com/t/data-wrangling-and-progressive-lod-cloud-knowledge-graph-enhancement/1599 > > [2] > https://www.whitehouse.gov/briefings-statements/call-action-tech-community-new-machine-readable-covid-19-dataset/ > > -- > Regards, > > Kingsley Idehen > Founder & CEO > OpenLink Software > Home Page: http://www.openlinksw.com > Community Support: https://community.openlinksw.com > Weblogs (Blogs): > Company Blog: https://medium.com/openlink-software-blog > Virtuoso Blog: https://medium.com/virtuoso-blog > Data Access Drivers Blog: https://medium.com/openlink-odbc-jdbc-ado-net-data-access-drivers > > Personal Weblogs (Blogs): > Medium Blog: https://medium.com/@kidehen > Legacy Blogs: http://www.openlinksw.com/blog/~kidehen/ > http://kidehen.blogspot.com > > Profile Pages: > Pinterest: https://www.pinterest.com/kidehen/ > Quora: https://www.quora.com/profile/Kingsley-Uyi-Idehen > Twitter: https://twitter.com/kidehen > Google+: https://plus.google.com/+KingsleyIdehen/about > LinkedIn: http://www.linkedin.com/in/kidehen > > Web Identities (WebID): > Personal: http://kingsley.idehen.net/public_home/kidehen/profile.ttl#i > : http://id.myopenlink.net/DAV/home/KingsleyUyiIdehen/Public/kingsley.ttl#this > >
Received on Saturday, 21 March 2020 20:00:01 UTC