Readings

From info216

This page currently shows some of the lectures and readings from the Spring of 2023. It will be updated with materials for 2024 as the course progresses.

Textbooks

Main course book (the whole book is mandatory reading):

  • Dean Allemang, James Hendler & Fabien Gandon (2020). Semantic Web for the Working Ontologist, Effective Modeling for Linked Data, RDFS and OWL (Third Edition). ISBN: 9781450376143, PDF ISBN: 9781450376150, Hardcover ISBN: 9781450376174, DOI: 10.1145/3382097.

Supplementary reading book (not mandatory):

  • Andreas Blumauer and Helmut Nagy (2020). The Knowledge Graph Cookbook - Recipes that Work. mono/monochrom. ISBN-10: ‎3902796707, ISBN-13: 978-3902796707.

Other materials

In addition, the materials listed below for each lecture are either mandatory or suggested reading. More materials will be added to each lecture in the coming weeks.

The lectures and lectures notes are also part of the curriculum.

Make sure you download the electronic resources to your own computer in good time before the exam. This is your own responsibility. That way you are safe if a site becomes unavailable or somehow damaged the last few days before the exam.

Note: to download some of the papers, you may need to be inside UiB's network. Either use a computer directly on the UiB network or connect to your UiB account through VPN.

Lectures (preliminary)

Below are the mandatory and suggested readings for each lecture. All the textbook chapters in Allemang, Hendler & Gandon are mandatory, whereas the chapters in Blumauer & Nagy are suggested.

Lecture 1: Introduction to KGs

Themes:

  • Introduction to Knowledge Graphs
  • Organisation of the course

Mandatory readings:

Useful materials:

  • Important knowledge graphs (which we will look more at later):
  • Pages 27-55 and 105-122 in Blumauer & Nagy (suggested)

Lecture 2: Representing KGs (RDF)

Themes:

  • Resource Description Framework (RDF)
  • Programming RDF in Python

Mandatory readings:

  • Chapter 3 in Allemang, Hendler & Gandon (3rd edition)
  • W3C's RDF 1.1 Primer until and including 5.1.2 Turtle (but not the rest for now)
  • RDFlib 7.0.0 documentation, the following pages:
    • The main page
    • Getting started with RDFLib
    • Loading and saving RDF
    • Creating RDF triples
    • Navigating Graphs
    • Utilities and convenience functions
    • RDF terms in rdflib
    • Namespaces and Bindings
  • Slides from the lecture

Useful materials:

Lecture 3: Querying and updating KGs (SPARQL)

Themes:

  • SPARQL queries
  • SPARQL Update
  • Programming SPARQL and SPARQL Update in Python

Mandatory readings (tentative):

Useful materials:

Lecture 4: Linked Open Data (LOD)

Themes:

  • Linked Open Data(LOD)
  • The LOD cloud
  • Data provisioning

Mandatory readings (both lecture 4 and 5):

Useful materials

Lecture 5: Open Knowledge Graphs I

Themes:

  • Important open KGs (LOD datasets)
    • Wikidata
    • DBpedia

Mandatory readings:

Lecture 6: Open Knowledge Graphs II

Themes:

  • Important open KGs (LOD datasets)
    • DBpedia (continued)
    • GeoNames
    • the GDELT project
    • WordNet
    • BabelNet
    • ConceptNet

Mandatory readings:

Useful materials

Old lectures (2003) - will be updated

Lecture 7: Enterprise Knowledge Graphs

Themes:

  • Enterprise Knowledge Graphs (EKGs)
  • Google’s Knowledge Graph
  • Amazon’s Product Graph
  • (News Hunter’s infrastructure and architecture)
  • JSON-LD

Mandatory readings:

Supplementary readings:

Lecture 8: Rules (SHACL and RDFS)

Themes:

  • SHACL and RDFS
  • Axioms, rules and entailment
  • Programming SHACL and RDFS in Python

Mandatory readings:

Useful materials:

Lecture 9: Ontologies (OWL)

Themes:

  • Basic OWL concepts
  • Axioms, rules and entailments
  • Programming basic OWL in Python

Mandatory readings:

Useful materials (cursory):

Lecture 10: Vocabularies

Themes:

  • LOD vocabularies and ontologies

Mandatory readings:

Lecture 11: Formal ontologies (description logic, OWL-DL)

Themes:

  • OWL-DL
  • Description logic
  • Decision problems

Mandatory readings:

Useful materials:

Lecture 12: KG embeddings

Themes:

  • KG embeddings
  • Link prediction
  • TorchKGE

Mandatory readings (preliminary):

Supplementary readings (preliminary):

Lecture 13: Wrapping up

Themes:

  • Questions about the exam
  • Quizzes

Mandatory readings:

  • The rest of Allemang, Hendler & Gandon (3rd edition)

Useful materials:

  • The rest of Blumauer & Nagy (suggested)


 

INFO216, UiB, 2017-2024, Andreas L. Opdahl (c)