I've often thought that this would be an interesting exercise if someone would undertake it.

Just a reminder: in theory (IN THEORY) the first subject heading in an LC record is the one most semantically close to the assigned subject classification. So perhaps a first pass with the FIRST 6xx might give a more refined matching. And then it would be interesting to compare that with the results using all 600-651's.

kc

On 12/10/13, 1:18 PM, Edward Summers wrote:
Not a naive idea at all. If you have the stomach for it, you could extract the 
Subject Heading / Dewey combinations out of say the LC Catalog MARC data [1] to 
use as training data for some kind of clustering [2] algorithm. You might even 
be able to do something simple like keep a count of the Dewey ranges associated 
with each subject heading.

I’m kind of curious myself, so I could work on getting the subject heading / 
dewey combinations if you want?

//Ed

[1] https://archive.org/details/marc_records_scriblio_net
[2] https://en.wikipedia.org/wiki/Cluster_analysis

On Dec 10, 2013, at 8:18 AM, Irina Arndt <[email protected]> wrote:

Hi CODE4LIB,

we would like to add DDC classes to a bunch of MARC records, which contains 
only LoC Subject Headings.
Does anybody know, if a mapping between LCSH and DDC is anywhere existent (and 
available)?

I understood, that WebDewey http://www.oclc.org/dewey/versions/webdewey.en.html 
 might provide such a service, but

·         we are no OCLC customers or subscribers to WebDewey

·         even if we were, I'm not sure, if the service matches our needs

I'm thinking of a tool, where I can upload my list of subject headings and get 
back a list, where the matching Dewey classes have been added (but a 'simple' 
csv file with LCSH terms and DDC classes would be helpful as well- I am fully 
aware, that neither LCSH nor DDC are simple at all...) . Naïve idea...?

Thanks for any clues,
Irina


-------

Irina Arndt
Max Planck Digital Library (MPDL)
Library System Coordinator
Amalienstr. 33
D-80799 Muenchen, Germany

Tel. +49 89 38602-254
Fax +49 89 38602-290

Email: [email protected]<mailto:[email protected]>
http://www.mpdl.mpg.de

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Karen Coyle
[email protected] http://kcoyle.net
m: 1-510-435-8234
skype: kcoylenet

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