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KGTK Tutorial @ ISWC'21 - 24 de Outubro

Links 

https://usc-isi-i2.github.io/kgtk-tutorial-iswc-2021/

https://iswc2021.semanticweb.org/tutorial-schedule

 

Programa

Introduction to the KGs and available KG toolkits

Basic KGTK
Introduction to KGTK file format and basic commands
Hands-on: importing (Wikidata, DBpedia), filtering, combining graphs, deployment, exporting

Advanced KGTK
Introduction to KGTK advanced functionalities
Hands-on: Kypher, embeddings, centrality, paths

Use cases part I
Use case 1: Building a Commonsense Knowledge Graph
Use case 2: Analysis of all 300+ dumps of Wikidata
    
Use cases part II & Discussion
Use case 3: Enriching Wikidata with Excel Spreadsheets & Web Tables
Wrap-up and discussion

Marcadores:

Comentários

  1. Veronica dos Santos5 de julho de 2021 às 14:56

    Preciso acompanhar quando abre as inscrições

    ResponderExcluir
    Respostas
    1. Veronica dos Santos10 de setembro de 2021 às 12:50

      Registration is now open for this year’s virtual conference, ISWC 2021, October 26 – 28, with Workshops and Tutorials scheduled for October24 and 25.

      Please go to iswc2021.semanticweb.org to register! The program is still being sorted out and will appear as quickly as possible.

      The main blocks are:

      Oct 24 and 25 – Workshops and Tutorials

      Oct 26 – 28 – Main Program with Keynotes at the start of each day followed by sessions from all tracks.

      Meantime, please visit the Accepted Papers link in the Program menu to see what’s happening this year!

      Please spread the word!

      Thanks
      Kathy (Local Organizing Chair)

      Excluir
    2. Veronica dos Santos10 de setembro de 2021 às 12:50

      50 doláres, 300 reais somente para o tutorial.

      Excluir
  2. Veronica dos Santos25 de outubro de 2021 às 16:01

    Since some asked, here is a summary of all the resources:
    Hands-on materials: https://github.com/usc-isi-i2/kgtk-notebooks/
    Colab Notebooks: https://github.com/usc-isi-i2/kgtk-notebooks#running-the-notebooks-in-google-colab
    Slides: https://github.com/usc-isi-i2/kgtk-notebooks/tree/main/slides
    KGTK documentation: https://kgtk.readthedocs.io/
    Similarity GUI: https://kgtk.isi.edu/similarity/
    KGTK Search: https://kgtk.isi.edu/search/
    KGTK Browser: https://kgtk.isi.edu/iswc/browser/Q2685
    Resource paper (ESWC'20): https://arxiv.org/pdf/2006.00088.pdf
    KGTK on GitHub: https://github.com/usc-isi-i2/kgtk/ (edited)

    ResponderExcluir
    Respostas
    1. Veronica dos Santos20 de novembro de 2021 às 20:53

      Fiz os testes com os notebooks no Goggle Colab e salvei no meu GitHub. Ainda preciso entender melhor o notebook 03 sobre embeddings.

      Excluir
    2. Veronica dos Santos22 de novembro de 2021 às 10:30

      A etapa de Link Prediction do notebook 03 só funciona com o algoritmo ComplEx. Tentei com DistMult, TransE e RESCAL e não se adequa. Os demais passos de geração dos embeddings e do calculo de similaridade (usando gensim) entendi.

      Excluir

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