This seems promising for OLAC.
http://d-scholarship.pitt.edu/42973/
https://www.ncserialsconference.org/slides/2022/2022-1B.pdf
https://opencatalogingrules.org/
Open Cataloging Rules
Reply
Tag Archives: OLAC
Cataloging Serials
https://archive.org/details/podcast_electronic-serials-cataloging_386018207
https://wiki.rice.edu/confluence/display/METACAT/Cataloging+Continuing+Resources
https://www.tandfonline.com/doi/full/10.1080/01639374.2017.1388324
https://www.tandfonline.com/doi/abs/10.1080/1941126X.2018.1494014
https://wiki.rice.edu/confluence/display/METACAT/Cataloging+Continuing+Resources
https://web.library.yale.edu/book/export/html/570
https://github.com/WeblateOrg/language-data
https://alcts.libguides.com/alcts_standards/continuing_resources
https://www.tandfonline.com/doi/abs/10.1080/01639374.2017.1388324?journalCode=wccq20
https://alcts.libguides.com/alcts_standards/continuing_resources
https://www.loc.gov/aba/pcc/conser/word/Module0.docx
https://www.loc.gov/marc/bibliographic/bd008s.html
https://www.ala.org/alcts/confevents/upcoming/webinar/031815
https://archive.org/details/podcast_advanced-serials-cataloging-_386018196
https://archive.org/details/podcast_electronic-serials-cataloging_386018207
https://www.ala.org/alcts/mgrps/crs/
RDA & WEMI
http://www.mlalibrary.org/resources/Documents/Quickand%20DirtyRDA_MLA2016_TracyPizzi.pdf
German Grammar books to look at for OLAC examples.
Here are some links about German Grammar Books which are interesting for use in OLAC examples.
https://www.thoughtco.com/best-german-grammar-books-4150500
Fuzzy matching
https://towardsdatascience.com/fuzzy-string-matching-in-python-68f240d910fe
https://www.activestate.com/blog/how-to-implement-fuzzy-matching-in-python/#:~:text=As%20mentioned%20above%2C%20fuzzy%20matching,strings%20are%20to%20one%20another.
Topic Modeling in Python
What if my import pd data array was the OLAC metadata schema?
https://www.semanticscholar.org/paper/A-Gentle-Introduction-to-Topic-Modeling-Using-Saxton/38742c56eadfdf11fb7218f7702c8fccfc78bd95
https://gist.github.com/umbertogriffo/5041b9e4ec6c3478cef99b8653530032
https://towardsdatascience.com/contextualized-topic-modeling-with-python-eacl2021-eacf6dfa576
How to Use Bertopic for Topic Modeling and Content Analysis?
https://melaniewalsh.github.io/Intro-Cultural-Analytics/05-Text-Analysis/08-Topic-Modeling-Text-Files.html
https://asandeepc.bitbucket.io/courses/inls613_summer2019/lectures/08-lda_topic_modeling.pdf
http://derekgreene.com/slides/topic-modelling-with-scikitlearn.pdf
https://ourcodingclub.github.io/tutorials/topic-modelling-python/
https://stackabuse.com/python-for-nlp-topic-modeling/
https://www.toptal.com/python/topic-modeling-python
https://towardsdatascience.com/end-to-end-topic-modeling-in-python-latent-dirichlet-allocation-lda-35ce4ed6b3e0
ELAR roles and OLAC
While doing my Masters Thesis, I took a look at the contributor roles declared for various works. One thing I noticed is that even though Stuart McGill contributed two corpora to ELAR when these corpora get translated to OALC the translation mucks the metadata so that only one resource shows up with his name.
I asked the archive director about this and my understanding/recollection from that conversation is that metadata was piped through the TLA. https://lat1.lis.soas.ac.uk/ds/asv/?0&openpath=538104 I think the above record was also at the preveious link... but it doesn't resolve currently and there have been technology stack changes at ELAR since my Thesis was released. Here is the interface in the Internet Archive for a different record.
http://web.archive.org/web/20200616011131/https://lat1.lis.soas.ac.uk/ds/asv/;jsessionid=00127741134CA14440824DA736655134?0&openhandle=2196/00-0000-0000-0012-D580-4
Django modules and links
Django application to collect submitted DOIs, acquire their API provided metadata (Bibliographic metadata and citation graph metadata), allow limited (specified) annotation, and then make those records harvestable via OAI-PMH. Language Resource tagger—Adding a layer of language related metadata to published resources.
Some Django modules for OAI-PMH
https://github.com/saw-leipzig/foaipmh
https://github.com/jnphilipp/django_oai_pmh
https://pypi.org/user/jnphilipp/ his topic extraction module looks interesting.
Also look at the xsd schema here https://github.com/saw-leipzig/foaipmh/blob/5b15d5cc4700a3cccf497c47218c2fba6b3421d5/entrypoint.prod.sh#L5
Metadata utility for OAI-PMH
https://combine.readthedocs.io/en/master/configuration.html
User Authentication
https://github.com/ubffm/django-orcid
https://django.fun/en/docs/social-docs/0.1/backends/orcid/
Crossref
https://github.com/fabiobatalha/crossrefapi
Database Versioning
This depends on how the DB is set up. If we only have one record per item or one record per state... This needs more definition.
https://djangopackages.org/grids/g/versioning/
https://www.wpbeginner.com/beginners-guide/complete-guide-to-wordpress-post-revisions/
Form Builders
https://djangopackages.org/grids/g/form-builder/
Some Javascript tools for creating the specific forms needed:
https://github.com/HughP/dublin-core-generator
https://nsteffel.github.io/dublin_core_generator/generator.html
Markdown for documentation
https://neutronx.github.io/django-markdownx/
Bibtex
https://bibtexparser.readthedocs.io/en/master/
https://github.com/sciunto-org/python-bibtexparser
https://github.com/jnphilipp/bibliothek
https://github.com/lucastheis/django-publications <-- also check the network as "improvements" are all over the place.
Other names include:
* Babybib
* Pybtex
* Pybibliographer
APIs
ORCID
https://github.com/ORCID/python-orcid
Crossref API doc
https://github.com/CrossRef/rest-api-doc/blob/master/demos/crossref-api-demo.ipynb
Crossref types: https://www.crossref.org/documentation/register-maintain-records/
https://api.crossref.org/swagger-ui/index.html#/Types/get_types__id__works
Others — Mostly citation and references
http://www.scholix.org/
https://scholexplorer.openaire.eu/#/query/page=5/q=language
https://crossref.gitlab.io/knowledge_base/products/event-data/
FatCat https://fatcat.wiki/
InternetArchive Scholar https://scholar.archive.org/
Thor project https://project-thor.readme.io/docs/introduction-for-integrators
Corsscite.org
Semantic Scholar API https://api.semanticscholar.org/api-docs/graph
https://core.ac.uk/
https://opencitations.net/
https://unpaywall.org/ --> see: http://musingsaboutlibrarianship.blogspot.com/2017/11/using-oadoi-crossref-event-data-api-to.html
https://openalex.org/
https://arxiv.org/help/api/index
https://www.aminer.org/citation
https://www.aminer.org/download
https://open.aminer.cn/
https://analytics.hathitrust.org/datasets#top
https://pro.dp.la/developers/api-codex
https://pro.europeana.eu/page/apis
LCSH
https://github.com/edsu/id
MARC
For generating an ingesting MARC records
https://pymarc.readthedocs.io/en/latest/
Zotero
https://github.com/urschrei/pyzotero
Overview see: https://researchguides.smu.edu.sg/api-list/scholarly-metadata-api
ISSNs
ISSN.org is supposed to have an API.. but not sure if they do.
https://portal.issn.org/resource/ISSN/1904-0008
Any request to the portal may be automated thanks to the use of REST protocol. The download of results is also automated. This service is restricted to subscribing users. Please contact sales [at] issn.org for more information.
https://portal.issn.org/node/170
https://portal.issn.org/resource/ISSN/2549-5089#
https://portal.issn.org/resource/ISSN/2549-5089?format=json
We could also slurp the HTML for the sameAs links to other DBs if needed.
JATS
https://pypi.org/project/jatsgenerator/
https://stackoverflow.com/questions/42084165/extracting-text-from-jats-xml-file-using-python
https://github.com/sibils/jats-parser
Pandas
https://pypi.org/project/django-pandas/
Beautiful Soup
There is the issue of how do we add to a Dublin Core OAI record how it was changed over time.... I need to architect this out.
Record Provenance:
[]Explore
https://www.w3.org/TR/prov-dc/
https://www.w3.org/2011/prov/track/issues/607?changelog
http://www.ukoln.ac.uk/metadata/dcmi/collection-provenance/
https://edoc.hu-berlin.de/bitstream/handle/18452/2727/332.pdf?sequence=1&isAllowed=y
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177195/
https://www.loc.gov/standards/mods/userguide/recordinfo.html
https://tsl.access.preservica.com/tslac-digital-preservation-framework/qualified-dublin-core-schema/
https://dl.acm.org/doi/10.5555/2770897.2770924
https://blog.datacite.org/exposing-doi-metadata-provenance/
https://dgarijo.com/papers/dc2011.pdf
https://ceur-ws.org/Vol-670/paper_3.pdf
https://ecommons.cornell.edu/bitstream/handle/1813/55327/Encoding%20Provenance%20for%20Social%20Science%20Data-final.pdf?sequence=3&isAllowed=y
Views:
1. login with ORCID
2. query APIs (DOIs, ISBNs, ISSNs, ORCID, WikiData, etc.)
3. results display and annotation
4. submission
5. List of past submissions
6. update past submission screen (same as #3?)
If we ran a module like this:
https://pybliometrics.readthedocs.io/en/latest/classes/SerialTitle.html
Then we could take a reading on where the least spoken languages appear in the most highly ranked journals and determine if there was a bias or a loss to science.
Data Examples:
Have been moved to:
https://github.com/HughP/CrossRef-to-OLAC-data-examples
PDF Extraction:
https://levelup.gitconnected.com/scrap-data-from-website-and-pdf-document-for-django-app-fa8f37010085
https://towardsdatascience.com/how-to-extract-pdf-data-in-python-876e3d0c288
https://stackoverflow.com/questions/71850349/download-a-pdf-from-url-edit-it-an-render-it-in-django
https://stackoverflow.com/questions/48882768/django-reading-pdf-files-content
https://www.geeksforgeeks.org/working-with-pdf-files-in-python/
PDF Creation:
https://docs.djangoproject.com/en/4.1/howto/outputting-pdf/
https://jeltef.github.io/PyLaTeX/current/examples/header.html
NER:
https://johnfraney.github.io/django-ner-trainer/settings/
Other:
https://prodi.gy/
https://realpython.com/testing-in-django-part-1-best-practices-and-examples/
here is a django app for controlling URIs for linked data vocabularies.
https://github.com/unt-libraries/django-controlled-vocabularies
as seen here https://digital2.library.unt.edu/vocabularies/agent-qualifiers/
And here is a one for source authority records.
https://github.com/unt-libraries/django-name
as seen here: https://digital2.library.unt.edu/name/nm0000001/
Link Checker
https://github.com/Kaltsoon/dead-link-checker
https://pypi.org/project/django-linkcheck/
https://github.com/bartdag/pylinkvalidator
https://stackoverflow.com/questions/43264291/in-django-how-can-i-unit-test-all-links-recursively-every-view-check-for-200-o
Abstract and Table of Contents
If abstract is a sample of about-ness, then a table of contents is sample if is-ness. Some have said that journal articles should not have table of contents (instructional staff at the UNT program teaching the Metadata I course). I disagree, but so does Habing, et al (2001). Sometimes more than an abstract a table of contents can deliver a substantial understanding of what an article is and is about by displaying its structure. In fact many law review articles actually include a table of contents prior to the main part of the article. Law review articles can be over 70 pages in length. An outline offers useful information to the potential reader.
An example of an outline from a linguistics article.
Roberts, David. 2011. “A Tone Orthography Typology.” Written Language & Literacy 14 (1): 82–108. doi:10.1075/wll.14.1.05rob.
- Introduction
- The six parameters
2.1 First parameter: Domain
2.2 Second parameter: Target
2.2.1 Tones
2.2.2 Grammar
2.2.3 Lexicon
2.2.4 Dual strategies
2.3 Third parameter: Symbol
2.3.1 Phonographic representations
2.3.2 Semiographic representations
2.4 Fourth parameter: Position
2.5 Fifth parameter: Density
2.5.1 Introduction
2.5.2 Zero density
2.5.3 Partial density
2.5.4 Exhaustive density
2.6 Sixth parameter: Depth
2.6.1 Introduction
2.6.2 Surface representation
2.6.3 Deep representation
2.6.4 Shallow (transparent) representation - Conclusion
Abbreviations
Notes
Bibliographical references
References
Thomas G. Habing, Timothy W. Cole, and William H. Mischo. 2001. Qualified Dublin Core using RDF for Sci-Tech Journal Articles. https://dli.grainger.uiuc.edu/Publications/metadatacasestudy/HabingDC2001.pdf
Opinions on OCLC and metadata ownership
https://librarytechnology.org/document/7266
https://librarytechnology.org/document/7266/ownership-of-machine-readable-records-a-neglected-consideration-in-retrospective-conversion
https://www.oclc.org/en/worldcat/cooperative-quality/policy.html
https://repository.law.uic.edu/cgi/viewcontent.cgi?article=1557&context=jitpl
https://dltj.org/article/oclc-records-use-policy-1/
https://wiki.harvard.edu/confluence/display/LibraryStaffDoc/OCLC+Institution+records+discontinuation
Matching algorithms
https://www.oclc.org/en/news/announcements/2022/worldcat-quality-enhancements.html
https://www.ohiolink.edu/content/matching_bibliographic_records_central_site
Scraping archives for OLAC
This post is a set of resources I am compiling to create a scrape of a language archive to create a Static OLAC feed.
https://www.youtube.com/watch?v=RvCBzhhydNk
https://www.kdnuggets.com/2022/02/build-web-scraper-python-5-minutes.html
The archive: http://roa.rutgers.edu/article/browse
https://www.geeksforgeeks.org/how-to-build-web-scraping-bot-in-python/
https://www.edureka.co/blog/web-scraping-with-python/
https://www.webscrapingapi.com/python-web-scraping
Text Extraction
https://www.geeksforgeeks.org/extract-text-from-pdf-file-using-python/
https://towardsdatascience.com/how-to-extract-text-from-pdf-245482a96de7
https://betterprogramming.pub/how-to-convert-pdfs-into-searchable-key-words-with-python-85aab86c544f
OCR
https://www.javatpoint.com/how-to-read-contents-of-pdf-using-ocr-in-python
https://www.geeksforgeeks.org/python-reading-contents-of-pdf-using-ocr-optical-character-recognition/
https://pypi.org/project/ocrmypdf/
https://towardsdatascience.com/extracting-text-from-scanned-pdf-using-pytesseract-open-cv-cd670ee38052
https://stackabuse.com/applying-ocr-to-a-scanned-pdf-in-python-using-borb/
NER
File Type Detection
https://github.com/ahupp/python-magic
https://www.geeksforgeeks.org/determining-file-format-using-python/
https://stackoverflow.com/questions/10937350/how-to-check-type-of-files-without-extensions
XML parsing
https://pypi.org/project/defusedxml/
https://www.tutorialspoint.com/python/python_xml_processing.htm