Fwd: Fw: AI tools for scientific literature exploration and cognitive discovery and the use of semantic technologies therein

Gannon, thanks for reply
forwarded to list
---------- Forwarded message ---------
From: Gannon Dick <gannon_dick@yahoo.com>
Date: Wed, Aug 21, 2019 at 2:31 AM
Subject: Fw: AI tools for scientific literature exploration and cognitive
discovery and the use of semantic technologies therein
To: paoladimaio10@googlemail.com <paoladimaio10@googlemail.com>


Hi Paola, He's talking about your stuff

"A plethora of tools is now available, yet it is unclear whether in all of
these semantic web technologies can be or are used."

My thoughts ...
The data base long pre-dates semantic methods.  The origin of PubMed
<https://www.ncbi.nlm.nih.gov/pmc/> was 1921 IIRC. The articles are 100%
peer reviewed. What this excludes from searches is scientific priority
disputes. Semantic search methods include these results and thereby
increase uncertainty but without any increase in entropy which I can
justify ... which explains why using Kelvin's tide tables from 1900 is a
real bad idea.  The fact they are hard to read having been copied a million
times is just a gatekeeper bonus.

In Medicine and Molecular Biology there are some gains to be made by
looking backward but the reason is often a low incidence of a rare
syndrome.  This is a much different task than Machine Learning which can
only identify good candidates for further study.

--Gannon


----- Forwarded Message -----
*From:* ProjectParadigm-ICT-Program <metadataportals@yahoo.com>
*To:* Public-lod Public <public-lod@w3.org>; W3C AIKR CG <public-aikr@w3.org>;
Ontolog-forum <ontolog-forum@googlegroups.com>; Semantic-web <
semantic-web@w3.org>; public-philoweb@w3.o <public-philoweb@w3.org>; W3c
Semweb HCLS <public-semweb-lifesci@w3.org>
*Sent:* Tuesday, August 20, 2019, 12:25:00 PM CDT
*Subject:* AI tools for scientific literature exploration and cognitive
discovery and the use of semantic technologies therein

As the amount of scientific literature, the body of both peer reviewed and
open publishing literature seems to grow exponentially, the need to use
search tools that employ AI to rapidly weed out less relevant material and
find material that meets narrow search criteria will grow.

A plethora of tools is now available, yet it is unclear whether in all of
these semantic web technologies can be or are used.

AI used for scientific literature exploration and for cognitive discovery
could benefit from the use of semantic web technologies if the knowledge
representation tools used by AI would incorporate such.

The W3 AIKR CG is looking into this and related issues.

General literature exploration and cognitive discovery stand to gain from
semantic web enabled AI-KR, and this might be just the breakthrough
application for semantic web technologies.

Has any research been done on the use of AI enabled scientific literature
exploration in selected domains (disciplines), comparative studies on the
use of semantic web technologies and other technologies, and developed
benchmarks or metrics for measuring AI enabled literature exploration tools
and semantic web technologies in such?

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