#beltrans — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #beltrans, aggregated by home.social.
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Hey #library folks 👋 ,
do you want to cluster your book editions with the well-known Work-set algorithm from #OCLC, but you don't find a suitable reusable tool?
I recently faced this issue while working on the #BELTRANS project at KBR (Royal Library of Belgium). All I found were many research papers describing the clustering and a few implementations that required me to install 2010-style Java software stacks.
So I decided to write an easily reusable small #Python script that follows the ideas of the Work-set algorithm: clustering based on descriptive keys. Nothing more, nothing less.
Check my blog post for more information and have a look at the script.
➡️ blog post: https://doi.org/10.59350/4hd4r-1tk44
➡️ script: https://doi.org/10.5281/zenodo.10011416
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Hey #library folks 👋 ,
do you want to cluster your book editions with the well-known Work-set algorithm from #OCLC, but you don't find a suitable reusable tool?
I recently faced this issue while working on the #BELTRANS project at KBR (Royal Library of Belgium). All I found were many research papers describing the clustering and a few implementations that required me to install 2010-style Java software stacks.
So I decided to write an easily reusable small #Python script that follows the ideas of the Work-set algorithm: clustering based on descriptive keys. Nothing more, nothing less.
Check my blog post for more information and have a look at the script.
➡️ blog post: https://doi.org/10.59350/4hd4r-1tk44
➡️ script: https://doi.org/10.5281/zenodo.10011416
-
Hey #library folks 👋 ,
do you want to cluster your book editions with the well-known Work-set algorithm from #OCLC, but you don't find a suitable reusable tool?
I recently faced this issue while working on the #BELTRANS project at KBR (Royal Library of Belgium). All I found were many research papers describing the clustering and a few implementations that required me to install 2010-style Java software stacks.
So I decided to write an easily reusable small #Python script that follows the ideas of the Work-set algorithm: clustering based on descriptive keys. Nothing more, nothing less.
Check my blog post for more information and have a look at the script.
➡️ blog post: https://doi.org/10.59350/4hd4r-1tk44
➡️ script: https://doi.org/10.5281/zenodo.10011416
-
Hey #library folks 👋 ,
do you want to cluster your book editions with the well-known Work-set algorithm from #OCLC, but you don't find a suitable reusable tool?
I recently faced this issue while working on the #BELTRANS project at KBR (Royal Library of Belgium). All I found were many research papers describing the clustering and a few implementations that required me to install 2010-style Java software stacks.
So I decided to write an easily reusable small #Python script that follows the ideas of the Work-set algorithm: clustering based on descriptive keys. Nothing more, nothing less.
Check my blog post for more information and have a look at the script.
➡️ blog post: https://doi.org/10.59350/4hd4r-1tk44
➡️ script: https://doi.org/10.5281/zenodo.10011416
-
Hey #library folks 👋 ,
do you want to cluster your book editions with the well-known Work-set algorithm from #OCLC, but you don't find a suitable reusable tool?
I recently faced this issue while working on the #BELTRANS project at KBR (Royal Library of Belgium). All I found were many research papers describing the clustering and a few implementations that required me to install 2010-style Java software stacks.
So I decided to write an easily reusable small #Python script that follows the ideas of the Work-set algorithm: clustering based on descriptive keys. Nothing more, nothing less.
Check my blog post for more information and have a look at the script.
➡️ blog post: https://doi.org/10.59350/4hd4r-1tk44
➡️ script: https://doi.org/10.5281/zenodo.10011416
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New newsletter edition is out
➡️https://fair-data-digest.org/archive/3 !
Many #FAIR topics:
💻 filling data gaps via #ISNI in #BELTRANS,
📅 Ethical, Legal and Social Aspects (#ELSA) of #DataScience at a workshop from the FAIR Data Spaces project https://www.nfdi.de/fair-data-spaces/?lang=en and
📹 #LawAsCode from Interoperable Europe
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New newsletter edition is out
➡️https://fair-data-digest.org/archive/3 !
Many #FAIR topics:
💻 filling data gaps via #ISNI in #BELTRANS,
📅 Ethical, Legal and Social Aspects (#ELSA) of #DataScience at a workshop from the FAIR Data Spaces project https://www.nfdi.de/fair-data-spaces/?lang=en and
📹 #LawAsCode from Interoperable Europe
-
New newsletter edition is out
➡️https://fair-data-digest.org/archive/3 !
Many #FAIR topics:
💻 filling data gaps via #ISNI in #BELTRANS,
📅 Ethical, Legal and Social Aspects (#ELSA) of #DataScience at a workshop from the FAIR Data Spaces project https://www.nfdi.de/fair-data-spaces/?lang=en and
📹 #LawAsCode from Interoperable Europe
-
New newsletter edition is out
➡️https://fair-data-digest.org/archive/3 !
Many #FAIR topics:
💻 filling data gaps via #ISNI in #BELTRANS,
📅 Ethical, Legal and Social Aspects (#ELSA) of #DataScience at a workshop from the FAIR Data Spaces project https://www.nfdi.de/fair-data-spaces/?lang=en and
📹 #LawAsCode from Interoperable Europe
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The new FAIR Data Digest newsletter edition is out!
🖥️ Handling author pseudonyms in #BELTRANS,
🎓 listening to fundamental #KnowledgeGraph research at the Data Science Institute of the University of Hasselt and
📚 learning about the history of Wikidata
➡️ https://fair-data-digest.org -
The new FAIR Data Digest newsletter edition is out!
🖥️ Handling author pseudonyms in #BELTRANS,
🎓 listening to fundamental #KnowledgeGraph research at the Data Science Institute of the University of Hasselt and
📚 learning about the history of Wikidata
➡️ https://fair-data-digest.org -
The new FAIR Data Digest newsletter edition is out!
🖥️ Handling author pseudonyms in #BELTRANS,
🎓 listening to fundamental #KnowledgeGraph research at the Data Science Institute of the University of Hasselt and
📚 learning about the history of Wikidata
➡️ https://fair-data-digest.org -
The new FAIR Data Digest newsletter edition is out!
🖥️ Handling author pseudonyms in #BELTRANS,
🎓 listening to fundamental #KnowledgeGraph research at the Data Science Institute of the University of Hasselt and
📚 learning about the history of Wikidata
➡️ https://fair-data-digest.org