Comments (6)
Here is some R code to normalize structured page counts:
https://github.com/rOpenGov/bibliographica/blob/master/R/estimate_pages.R
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Normalizing structured page counts is not as straightfwd task as it first looks like. The reasons are many: spelling variations, ambiguous cases, terms or stopwords from multiple languages, handling of various exceptions. Moreover, many documents have only cover page information which will give a misleading page count estimate if converted directly. Anyway, the R code cited above is essentially ready, backed up by unit tests and extensive manual checking, and cleans up page counts for the complete Fennica catalog.
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@antagomir Thanks, looks really useful! The whole point of this pipeline is to stitch together existing tools instead of reinventing the wheel. Probably I just need to implement some glue code, e.g. a filter that can take N-Triples with structured page counts from stdin and output normalized page counts on stdout, using your normalization function behind the scenes.
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Similar things could be considered for the other fields as well.
from bib-rdf-pipeline.
The proposed materialExtent property in Schema.org could be used to represent the original, structured page count. Still, the normalized page count is probably much more useful for most analysis purposes. We could simply provide them both.
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Yes and both may be needed. I agree. Hopefully we can soon activate with this a bit more again,
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Related Issues (20)
- Too many series merged into a single entity HOT 2
- Non-authorized persons not merged with authorized ones HOT 3
- put Person birth/death years in separate fields
- Many series merged into a single entity HOT 6
- Empty ISSN keys sometimes produced
- Infer book format
- Drop useless instances generated from 530 fields HOT 1
- Organizations without names
- "jakaja" prefix not stripped
- Birth/death dates not extracted HOT 1
- Add links to ISSN resources
- 100 $q subfield causes bad birth years
- Strip dashes from ISBNs HOT 1
- Merging breaks when ISSN contains space HOT 1
- GDPR: No need to strip birth dates from recently deceased persons
- name, birthDate and deathDate improperly set HOT 1
- If bf:itemOf present an "electronic instance" is created HOT 3
- Create single file MARCXML distribution
- Integrate cleanups from COMHIS HOT 1
- Adapt to YSO subjects in Fennica HOT 1
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