Readings

Textbooks

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

• Hogan, A. et al. (2021). Knowledge Graphs. Springer. Synthesis Lectures on Data, Semantics, and Knowledge 22, 1–237, DOI: 10.2200/S01125ED1V01Y202109DSK022, Springer. https://kgbook.org/

Supplementary books (not mandatory):

• 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.
• 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 labs, 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 (in progress)

Below are the mandatory and suggested readings for each lecture. All the textbook chapters in Hogan et al. ("Knowledge Graphs") are mandatory, whereas the chapters in Allemang, Hendler & Gandon ("Semantic Web") are suggested.

Lecture 1: Introduction to KGs

Themes:

• Introduction to Knowledge Graphs
• Organisation of the course

Mandatory readings:

• Chapter 1 Introduction, section 2.1 Models, and Appendix A Background in Hogan et al.
• Tim Berners-Lee talks about the semantic web
• RDFlib 7.1.3 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
• The slides from the lecture (available under Files/Slides in http://mitt.uib.no).

Useful materials:

• Chapters 1-2 in Allemang, Hendler & Gandon (3rd edition)
• Important knowledge graphs (which we will look more at later):
  • Wikidata (https://www.wikidata.org/)

Lecture 2: Querying and updating KGs (SPARQL)

Themes:

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

Mandatory readings (tentative):

• Section 2.2 Queries in Hogan et al.
• The SPARQL query language — GraphDB 10.8 documentation
• rdflib 7.1.3 materials:
  • Querying with SPARQL
• The slides from the lecture (available under Files/Slides in http://mitt.uib.no).

Useful materials:

• Chapter 6 in Allemang, Hendler & Gandon (3rd edition)
• SPARQL 1.1 Query Language
• SPARQL 1.1 Update Language
• SPARQL 1.1 Cheat Sheet
• SPARQL Expressions and Functions

Lecture 3: Creating KGs

Themes:

• Extracting KGs from text
• Extracting from marked-up sources
• Extracting from SQL databases and JSON

Mandatory readings:

• Chapter 6 Creation and Enrichment, sections 6.1-6.4, in Hogan et al.
• The slides from the lecture (available under Files/Slides in http://mitt.uib.no).

Useful materials:

• DBpedia Spotlight
• Virtualization, GraphDB 10.0 documentation
• JSON for Linking Data

 

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