Comments on: The Next Next-Generation Library Catalog

By: Text mining Charles Dickens « Infomotions Mini-Musings

Text mining Charles Dickens « Infomotions Mini-Musings — Sat, 04 Dec 2010 13:03:38 +0000

[…] their locations across the entire text. In a previous blog posting I used Lingua::Concordance to compare & contrast the use of the phrase “good man” in the works of Aristotle, Plato, and Shakespeare. Lingua::Concordance too is available from […]

By: Professional Development - Vufind, day 2

Professional Development - Vufind, day 2 — Fri, 17 Sep 2010 18:16:22 +0000

[…] Eric Morgan talked for a few moments about pulling quantitative data from bibliographic and full text information to enable post-discovery analysis of resources. He has a great overview of his experiments at Eric’s blog. […]

By: ALA 2010 « Infomotions Mini-Musings

ALA 2010 « Infomotions Mini-Musings — Wed, 30 Jun 2010 19:42:11 +0000

[…] The Next Next-Generation Library Catalog […]

By: Loren

Loren — Sun, 27 Jun 2010 09:28:32 +0000

Thank you for saying so charmingly what I’ve been thinking, feeling and experiencing for the past few years. The subtext I see hear, with all the different apps you’ve used in saying it speaks of process and a world of libraries where we are only limited by our own lack of imagination.

By: Kathryn Greenhill

Kathryn Greenhill — Fri, 25 Jun 2010 01:12:51 +0000

Thank you for this. Entertaining, diverting and pointing to the future that libraries need to apprehend…all with a spoon full of sugar.

Has me thinking about other disciplines and what kinds of tools that exist to mine their data. It’s been my problem with OpenCalias – it has such a business focus that it is great for an analysis of data where the user wants to use the results in business.. but not so great for other disciplines. I think librarians need to look toward using textual analysis tools from the disciplines they serve and incorporate it into their “beyond discovery” layers.

It’s a pity that often subject liaison librarians in universities do this job because they are not so interested in “techie things”….How to get them to understand that this is their role will be interesting.

This kind of discovery also depends obviously on full text. It creates a population bias that would need to be somehow overcome. For example if fewer books by female authors are digitised (as fewer books by female authors were added to canons of “great works” in the past) then an attempt to discover what “love is” may produce a very skewed view …