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Ivan
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This set of notes provides a good overview of (some) of the work in the field of knowledge graphs and automated reasoning, including:

  • A history of ontology experiments on the web, i.e. attempts to extract structured relationships between online resources

  • A basic overview/tutorial of what knowledge graphs are and how to build them from text data

  • Slides from Google researchers about their methodology for extracting semantic relationships on a web scale (e.g. when you google a symptom, it will show you related disease information)

  • Some interesting papers on knowledge graphs and information extraction

  • More related fields and work, see the table of contents for the full list.

Hope that helps!

This set of notes provides a good overview of (some) of the work in the field of knowledge graphs and automated reasoning, including:

  • A history of ontology experiments on the web, i.e. attempts to extract structured relationships between online resources

  • A basic overview/tutorial of what knowledge graphs are and how to build them from text data

  • Slides from Google researchers about their methodology for extracting semantic relationships on a web scale (e.g. when you google a symptom, it will show you related information)

  • Some interesting papers on knowledge graphs and information extraction

  • More related fields and work, see the table of contents for the full list.

Hope that helps!

This set of notes provides a good overview of (some) of the work in the field of knowledge graphs and automated reasoning, including:

  • A history of ontology experiments on the web, i.e. attempts to extract structured relationships between online resources

  • A basic overview/tutorial of what knowledge graphs are and how to build them from text data

  • Slides from Google researchers about their methodology for extracting semantic relationships on a web scale (e.g. when you google a symptom, it will show you related disease information)

  • Some interesting papers on knowledge graphs and information extraction

  • More related fields and work, see the table of contents for the full list.

Hope that helps!

Source Link
Ivan
  • 156
  • 3

This set of notes provides a good overview of (some) of the work in the field of knowledge graphs and automated reasoning, including:

  • A history of ontology experiments on the web, i.e. attempts to extract structured relationships between online resources

  • A basic overview/tutorial of what knowledge graphs are and how to build them from text data

  • Slides from Google researchers about their methodology for extracting semantic relationships on a web scale (e.g. when you google a symptom, it will show you related information)

  • Some interesting papers on knowledge graphs and information extraction

  • More related fields and work, see the table of contents for the full list.

Hope that helps!