Readings: Difference between revisions

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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.
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.


'''To be updated - the readings below ''are not final for Spring 2022''.'''
''To be updated - the readings for the later lectures are not yet final for Spring 2022.''




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Useful materials:
Useful materials:
* Part 4 (System Architecture and Technologies) in Blumauer & Nagy (suggested)
* Part 4 (System Architecture and Technologies) in Blumauer & Nagy (suggested)
* [https://www.JSON.org/json-en.html JSON Syntax] (of you do not know it already :-))
* [https://www.JSON.org/json-en.html JSON Syntax] (if you do not know it already :-))
* [https://wiki.blazegraph.com/wiki/index.php/Main_Page Blazegraph]
* [https://wiki.blazegraph.com/wiki/index.php/Main_Page Blazegraph]
** The rest of it...
** The rest of it...
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Useful materials:
Useful materials:
* Pages 101-106 in Blumauer & Nagy (suggested)
* Pages 101-106 in Blumauer & Nagy (suggested)
* [https://www.w3.org/TR/rdf11-mt/ W3C's RDF 1.1 Semantics] (cursory, except the axioms and entailments in sections 8 and 9, which we will review in the lecture)
* [https://www.w3.org/TR/rdf11-mt/ W3C's RDF 1.1 Semantics] (''the axioms and entailments in sections 8 and 9, are most important, and we will review them in the lecture'')
* [https://github.com/blazegraph/database/wiki/InferenceAndTruthMaintenance Inference and Thruth Maintenance in Blazegraph]
* [https://github.com/blazegraph/database/wiki/InferenceAndTruthMaintenance Inference and Thruth Maintenance in Blazegraph]
* [https://github.com/RDFLib/OWL-RL 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''.
* [https://github.com/RDFLib/OWL-RL 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''.
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* [https://www.w3.org/TR/owl2-rdf-based-semantics/ OWL2 RDF-Based Semantics]
* [https://www.w3.org/TR/owl2-rdf-based-semantics/ OWL2 RDF-Based Semantics]
* The OWL-RL materials from Lecture 5
* The OWL-RL materials from Lecture 5
* [[:File:LohmannEtAl2016-VisualizingOntologiesWithVOWL.pdf | Lohmann et al. (2019): Visualizing Ontologies with VOWL. ''Semantic Web Journal.'']] ''Paper.''
* [[:File:LohmannEtAl2016-VisualizingOntologiesWithVOWL.pdf | Lohmann et al. (2019): Visualizing Ontologies with VOWL. ''Semantic Web Journal.'']]




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* Chapters 9-10 and 13 in Allemang & Hendler
* Chapters 9-10 and 13 in Allemang & Hendler
* [http://lov.okfn.org/dataset/lov/ Linked Open Vocabularies (LOV)]
* [http://lov.okfn.org/dataset/lov/ Linked Open Vocabularies (LOV)]
2021)]]
* Important vocabularies / ontologies:
* Important vocabularies / ontologies:
** '''What we expect you to know about each vocabulary is:'''
*** Its purpose and where and how it can be used.
*** Its most central 3-6 classes and properties be able to explain its basic structure.
*** It is less important to get all the names and prefixes 100% right: we do not expect you to learn every little detail by heart.
** [http://www.w3.org/2004/02/skos/ SKOS - Simple Knowledge Organization System Home Page]
** [http://www.w3.org/2004/02/skos/ SKOS - Simple Knowledge Organization System Home Page]
** [http://schema.org/docs/full.html schema.org - Full Hierarchy]
** [http://schema.org/docs/full.html schema.org - Full Hierarchy]
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** [http://www.w3.org/TR/owl-time/ Time ontology in OWL (time, OWL-time)]
** [http://www.w3.org/TR/owl-time/ Time ontology in OWL (time, OWL-time)]
** [http://rdfs.org/sioc/spec/ Semantic Interlinked Online Communities (SIOC)]
** [http://rdfs.org/sioc/spec/ Semantic Interlinked Online Communities (SIOC)]
** ''What we expect you to know about each vocabulary is this:''
*** Its purpose and where and how it can be used.
*** Its most central 3-6 classes and properties be able to explain its basic structure.
*** It is less important to get all the names and prefixes 100% right: we do not expect you to learn every little detail by heart.
* [[:File:S07-S08-VocabulariesAndOntologies.pdf | Slides from the lectures (old slides from 2021)]]
* [[:File:S07-S08-VocabulariesAndOntologies.pdf | Slides from the lectures (old slides from 2021)]]
* [[:File:S08-NewsAngler-ontologies.pdf | Additional slides about the News Angler/News Hunter ontologies (old slides from  2021)]]
* [[:File:S08-NewsAngler-ontologies.pdf | Additional slides about the News Angler/News Hunter ontologies (old slides from  2021)]]

Revision as of 15:54, 22 January 2022

Textbooks

Main course book:

  • 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. The whole book is mandatory reading.

Supplementary text 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

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.

To be updated - the readings for the later lectures are not yet final for Spring 2022.


Lecture 1: Introduction to knowledge Graphs

Themes:

  • Introduction to Knowledge Graphs
  • Organisation of INFO216

Mandatory readings:

Useful materials:


Lecture 2: Representing KGs (RDF)

Themes:

  • RDF
  • Programming RDF in Python

Mandatory readings:

Useful materials:


Lecture 3: Querying and updating KGs (SPARQL)

Themes:

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

Mandatory readings:

Useful materials:


Lecture 4: Storing and sharing KGs

Themes:

  • Triple stores and Blazegraph
  • Web APIs and JSON-LD
  • Other serialisation formats

Mandatory readings:

Useful materials:


Lecture 5: Open Knowledge Graphs

Themes:

  • The LOD cloud
  • Important open KGs (LOD datasets)
    • Wikidata
    • DBpedia
    • the GDELT project
    • EventKG
    • GeoNames
    • WordNet
    • BabelNet
    • and others

Mandatory readings:

Useful materials:


Lecture 6: Enterprise Knowledge Graphs

Themes:

  • Enterprise Knowledge Graphs
  • Google’s Knowledge Graph
  • Amazon’s Product Graphs
  • News Hunter’s infrastructure and architecture

Mandatory readings:

Supplementary readings:


Lecture 7: Rules (RDFS)

Themes:

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

Mandatory readings:

Useful materials:


Lecture 8: Ontologies (OWL)

Themes:

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

Mandatory readings:

Useful materials (cursory):


Lecture 9: Vocabularies

Themes:

  • LOD vocabularies and ontologies

Mandatory readings:

Useful materials:


Lecture 10: Reasoning about KGs (DL)

Themes:

  • Description logic
  • Decision problems
  • OWL-DL

Mandatory readings:

Useful materials:


Lecture 11: Formal ontologies (OWL-DL)

Themes:

  • Advanced OWL

Mandatory readings:

Useful materials:


Lecture 12: KG embeddings

Themes:

  • KG embeddings
  • Link prediction
  • TorchKGE

Mandatory readings:

Lecture 13: Knowledge Engineering

Themes:

  • Knowledge engineering
  • The Ontology Development 101 method

Mandatory readings:

Useful materials:

  • The rest of Blumauer & Nagy (suggested)

Lecture 14: Wrapping up

 

INFO216, UiB, 2017-2022, Andreas L. Opdahl (c)
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