Difference between revisions of "Readings"

From Info216
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Useful materials:
Useful materials:
* [https://rdflib.readthedocs.io/en/stable/apidocs/modules.html RDFLib API documentation]
* [https://github.com/RDFLib/rdflib RDFLib's GitHub page]
* [https://github.com/RDFLib/rdflib RDFLib's GitHub page]

Revision as of 15:54, 15 January 2020


The textbook in INFO216 is 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. The whole book is obligatory reading.

Other materials

In addition, the materials listed below for each lecture are either mandatory or suggested reading. Because we are moving from Java to Python this spring, the reading list is not final. We will add more materials to each lecture in the next few 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 need to be inside UiB's network. Either use a computer directly on the UiB network or connect to your UiB account through VPN.


Below are the mandatory and suggested readings for each lecture. All the textbook chapters are mandatory. Java-based readings are also available as an alternative to the Python-based materials.

Lecture 1: Knowledge Graphs


  • Web of Data
  • INFO216
  • RDFLib
  • The programming project

Mandatory readings:

Useful materials:

Lecture 2: RDF


  • RDF
  • Programming RDF in Python
  • Finding datasets and vocabularies for your projects

Lecture 3: SPARQL


  • SPARQL Update
  • Programming SPARQL and SPARQL Update in Python

Lecture 4: Application Architecture


  • Application components
  • Triple stores
  • Visualisation

Lecture 5: RDFS


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

Lecture 6: RDFS Plus


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

Lecture 7 and 8: Vocabularies


  • LOD vocabularies and ontologies

Lecture 9 and 10: Linked Data Resources


  • Important Linked Open Datasets
    • DBpedia
    • LinkedGeoData
    • GeoNames
    • Wikidata
    • and others

Lecture 11 and 12: Web APIs


  • Semantic web services
  • Semantic workflows

Lecture 13: OWL


  • Advanced OWL
  • Axioms, rules and entailments
  • Programming advanced OWL in Python

Lecture 14: OWL DL


  • Description logic
  • Decision problems
  • OWL-DL
  • Programming with OWL-DL reasoners in Python

Lecture 15: Ontology Development and Evaluation


  • Ontology Development 101 method


INFO216, UiB, 2017-2020, Andreas L. Opdahl (c)