Training on indexation chains

[Aurélie Thébault]

Hi here!
Still working with ANNIF on french side. We used to index notices with indexation chains such as concept1 -- concept2 -- concept3. There can be 1 to 3 concepts. 
Do you know if I can train ANNIF on such data? I managed to train models on each concept taken separately, but for the acceptance of the automatic indexation, it would be great to get some indexation chains, and not only list of potentially valuable concepts.

Thanks a lot again for your answer !
Best regards, 

Aurélie

[Osma Suominen]

Hello Aurélie,

thank you for your good question!

Annif does not understand the notion of chains, that is, post-coordinate
indexing where the indexing is done not with individual concepts/terms,
but with ad-hoc combinations of concepts such as "France -- history --
19th century". Annif uses a simple representation where each document is
indexed by 1 to N concepts, and each concept is identified by a URI.
This is in line with SKOS, Dublin Core etc.

However, if your vocabulary is precoordinated (such as LCSH), then such
combinations may already be represented as a single skos:Concept with a
URI that identifies the whole chain. For example the LCSH URI
http://id.loc.gov/authorities/subjects/sh2006004170 identifies a concept
with the label "France--History--Coup d'état, 1797" so from the
perspective of Annif this is a single subject, even though it combines
multiple terms into a chain.

Best,
Osma

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Osma Suominen
D.Sc. (Tech), Information Systems Specialist
National Library of Finland
P.O. Box 15 (Unioninkatu 36)
00014 HELSINGIN YLIOPISTO
Tel. +358 50 3199529
osma.s...@helsinki.fi
http://www.nationallibrary.fi