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Re: [ontolog-forum] Looking to the Future of Data Science - NYTimes.com

To: "[ontolog-forum]" <ontolog-forum@xxxxxxxxxxxxxxxx>
From: Peter Yim <peter.yim@xxxxxxxx>
Date: Fri, 29 Aug 2014 10:47:51 -0700
Message-id: <CAGdcwD3WMjtj7=MJpKd_iyXNGV606jEeVZQrAKHFRsOSdzjSdA@xxxxxxxxxxxxxx>
Context ...    (01)

This exchange was in regard to the article at the New York Times which
can be found
http://bits.blogs.nytimes.com/2014/08/27/looking-to-the-future-of-data-science/    (02)

--    (03)

---------- Forwarded message ----------
From: Barkmeyer, Edward J <edward.barkmeyer@xxxxxxxx>
Date: Fri, Aug 29, 2014 at 8:42 AM
Subject: Re: [ontolog-trustee] Looking to the Future of Data Science -
NYTimes.com - 2014.08.27
To: ONTOLOG Board of Trustees <ontolog-trustee@xxxxxxxxxxxxxxxx>    (04)

John,    (05)

I don't think that is fair.  Anyone I know or knew in the field has
long thought that "data science" is the term for the computer science
associated with information management.  Into the early 1980s, the
problem was always in getting the 'computer science' gang (ACM in
particular) to recognize that there was a computer science aspect to
information management systems; it wasn't just "management information
systems" and "database design" and other such "software practices".    (06)

As the basic theory became recognized as theory and became generally
understood, the advancements in data sciences moved toward information
modeling, knowledge discovery and "data logics".  Unfortunately,
beginning about 15 years ago, the real illusion of progress -- XML and
RDF data stores -- grew hundreds of would-be computer scientists
building "new" information stores and database systems, with no
knowledge of the data sciences, and therefore reinventing good and bad
ideas from a 30-year literature they didn't read.  (As Adrian Walker
observed about 10 years ago, for most CS/Informatics students, there
is no computer science literature that predates PDF.)    (07)

So it is merely high time that ACM recognized that the term "data
science" applies to a broad and respected field of computer science
that has been in existence for perhaps 45 years (Codd, 1970), and has
been called "data science" by many of its teachers and practitioners
for the last 25.  This is not about renaming the field every 5 years;
it is about realizing that the field has a name.    (08)

-Ed    (09)

P.S.  I owe my respect for the data sciences to Stanley Y.W. Su at U.
Florida and Gio Wiederhold at Stanford.    (010)

> -----Original Message-----
> From: ontolog-trustee-bounces@xxxxxxxxxxxxxxxx [mailto:ontolog-trustee-
> bounces@xxxxxxxxxxxxxxxx] On Behalf Of John F Sowa
> Sent: Thursday, August 28, 2014 11:36 PM
> To: ontolog-trustee@xxxxxxxxxxxxxxxx
> Subject: Re: [ontolog-trustee] Looking to the Future of Data Science -
> NYTimes.com - 2014.08.27
> On 8/28/2014 10:33 PM, Obrst, Leo J. wrote:
> > I had been half-afraid that Etzioni (of the Allen Institute for AI)
> > was going to be going the usual way of Big Data. I'm glad to see he's not.
> But note the first sentence of the article:
> NY Times
> > The Association for Computing Machinery, a leading professional
> > association in computer science, is this week holding its annual
> > conference focused on what we're now calling data science - though the
> > ACM still clings to the label adopted when the yearly gatherings began
> > in 1998, Knowledge Discovery and Data Mining.
> That's the fundamental principle for creating the illusion of progress:
> Change the name of the field every decade.
> Then you can claim "Look how much we've achieved since the founding of
> the field, less than 10 years ago."
> John
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>    (011)

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