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
Preciso acompanhar quando abre as inscrições
ResponderExcluirRegistration is now open for this year’s virtual conference, ISWC 2021, October 26 – 28, with Workshops and Tutorials scheduled for October24 and 25.
ExcluirPlease 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)
50 doláres, 300 reais somente para o tutorial.
ExcluirSince some asked, here is a summary of all the resources:
ResponderExcluirHands-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)
Fiz os testes com os notebooks no Goggle Colab e salvei no meu GitHub. Ainda preciso entender melhor o notebook 03 sobre embeddings.
ExcluirA 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