Readings
Textbook
- New textbook in the Spring semester 2021 is The Knowledge Graph Cookbook - Recipes that Work, by Andreas Blumauer and Helmut Nagy (April 16, 2020). mono/monochrom. The whole book is mandatory reading.
- The old textbook in INFO216 was Semantic Web for the Working Ontologist, Second Edition: Effective Modeling in RDFS and OWL by Dean Allemang and James Hendler (Jun 3, 2011). Morgan Kaufmann. It is still recommended reading, but not mandatory.
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
Below are the mandatory and suggested readings for each lecture. All the textbook chapters in Blumauer & Nagy are mandatory, whereas the chapters in Allemang & Hendler are suggested. Java-based readings are also available as an alternative to the Python-based materials.
Lecture 1: Knowledge Graphs
Themes:
- Introduction to Knowledge Graphs
- Organisation of INFO216
Mandatory readings:
- Pages 27-55 and 105-122 in Blumauer & Nagy (mandatory)
- Tim Berners-Lee talks about the semantic web (mandatory)
- Slides from the lecture
Useful materials:
- Chapters 1-2 in Allemang & Hendler (suggested)
Lecture 2: RDF
Themes:
- RDF
- Programming RDF in Python
- The group project
Mandatory readings:
- Pages 25-28, 92-100, 125-128, and 164-167 in Blumauer & Nagy (mandatory)
- W3C's RDF 1.1 Primer (mandatory)
- rdflib 5.0.0 materials:
- Main page
- Getting started with RDFLib
- Loading and saving RDF
- Creating RDF triples
- Navigating Graphs
- Utilities and convenience functions
- Slides from the lecture
Useful materials:
- Chapter 3 in Allemang & Hendler (suggested)
- RDFLib API documentation (useful for the labs and group project)
- RDFLib's GitHub page
- W3C's RDF 1.1 Concepts and Abstract Syntax (cursory)
- RDF Data Visualization tools
Lecture 3: SPARQL
Themes:
- SPARQL queries
- SPARQL Update
- Programming SPARQL and SPARQL Update in Python
Mandatory readings:
- For example pages 54-55, 133 in Blumauer & Nagy (mandatory)
- Chapter 5 in Allemang & Hendler (suggested)
- SPARQL 1.1 Cheat Sheet
- SPARQL 1.1 Update Language (Sections 1-3 are obligatory)
- rdflib 5.0.0 materials:
- Querying with SPARQL
- Slides from the lecture
Useful materials:
- SPARQL 1.1 Query Language
- SPARQL 1.1 Update Language (the rest of it)
- SPARQL 1.1 Overview
- RDFLib API documentation (same as Lecture 1)
Lecture 4: Tools and services
Themes:
- Application architecture
- Triple stores and Blazegraph
- Endpoints and Wikidata Query Service (WDQS)
- Web APIs and JSON-LD
- Serialisation formats
Mandatory readings:
- Part 4 (System Architecture and Technologies) in Blumauer & Nagy (mandatory)
- Chapter 4 in Allemang & Hendler (suggested)
- Linked Open Vocabularies (LOV)
- Blazegraph:
- Introduction - About Blazegraph
- Getting started
- SPARQL Extensions - Full Text Search, GeoSpatial Search, Refication Done Right
- Slides from the lecture
- Wikidata
- JSON Syntax (mandatory)
- Section 2 in W3C's JSON-LD 1.1 Processing Algorithms and API (mandatory)
- Slides from the lecture
Useful materials:
- Blazegraph
- The rest of it...
- JSON for Linked Data (supplementary)
- What is Linked Data? Short video introduction to Linked Data by Manu Sporny
- What is JSON-LD? Short video introduction to JSON-LD by Manu Sporny
Lecture 5: RDFS
Themes:
- RDFS
- Axioms, rules and entailment
- Programming RDFS in Python
Mandatory readings:
- Pages 101-106 in Blumauer & Nagy (mandatory)
- Chapters 6-7 in Allemang & Hendler (suggested)
- W3C's RDF Schema 1.1, focus on sections 1-3 and 6 (mandatory)
- Slides from the lecture
Useful materials:
- W3C's RDF 1.1 Semantics (cursory, except the axioms and entailments in sections 8 and 9, which we will review in the lecture)
- OWL-RL adds inference capability on top of RDFLib. To use it, copy the owlrl folder into your project folder, next to your Python files, and import it with import owlrl.
- OWL-RL documentation (most likely more detailed than you will need - check the Python Examples first
- Inference and Thruth Maintenance in Blazegraph
Lecture 6: OWL 1
Themes:
- Basic OWL concepts
- Axioms, rules and entailments
- Programming basic OWL in Python
Mandatory readings:
- Pages 106-109 in Blumauer & Nagy (mandatory)
- Chapter 8 in Allemang & Hendler (suggested)
- OWL2 Primer, sections 2-6
- VOWL: Visual Notation for OWL Ontologies
- Slides from the lecture.
Lecture 7 and 8: Vocabularies
Themes:
- LOD vocabularies and ontologies
Mandatory readings:
- Chapters 9-10 and 13 in Allemang & Hendler (suggested)
- Linked Open Vocabularies (LOV)
Useful materials:
- Vocabularies:
- SKOS - Simple Knowledge Organization System Home Page
- schema.org - Full Hierarchy
- Dublin Core (DC)
- Friend of a Friend (FOAF)
- geo: World Geodetic Standard (WGS) 84
- Annotating vocabulary descriptions (VANN)
- Vocabulary Status (VS)
- Creative Commons (CC) Vocabulary
- Vocabulary of Interlinked Datasets (VoID)
- Provenance Interchange (PROV)
- Event Ontology (event)
- Time ontology in OWL (time, OWL-time)
- Timeline Ontology (tl)
- Biographical Information (BIO)
- Semantic Interlinked Online Communities (SIOC)
- Bibliographic Ontology (bibo)
- [http://musiconMandatory readings:
