Difference between revisions of "Readings"

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* [http://live.babelnet.org/about About BabelNet]
 
* [http://live.babelnet.org/about About BabelNet]
  
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==Lecture 11 and 12: Web APIs==
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==Lecture 11: Enterprise Knowledge Graphs==
  
 
Themes:  
 
Themes:  
* JSON, JSON-LD
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* Google’s Knowledge Graph
* Semantic web services
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* Amazon’s Product Graphs
* Semantic workflows
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* Others (← F1)
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* News Hunter’s infrastructure and architecture
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Mandatory readings:
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* Parts 2 and 4 in Blumauer & Nagy's text book
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* Slides from the lecture
  
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Supplementary readings:
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* [https://www.blog.google/products/search/introducing-knowledge-graph-things-not/ Introducing the Knowledge Graph: Things not Strings], Amit Singhal, Google (2012). ''(The blog post that introduced Google's knowledge graph to the world.)''
  
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==Lecture 13: OWL==
 
==Lecture 13: OWL==
  

Revision as of 10:30, 9 April 2021

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:

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:


Lecture 3: SPARQL

Themes:

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

Mandatory readings:

Useful materials:

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:

Useful materials:

Lecture 5: RDFS

Themes:

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

Mandatory readings:

Useful materials:

Lecture 6: OWL 1

Themes:

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

Mandatory readings:


Lecture 7 and 8: Vocabularies

Themes:

  • LOD vocabularies and ontologies

Mandatory readings:

Useful materials:

This is what we expect you to know about each vocabulary: Its purpose and where and how it can be used. You should know 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.

Lecture 9 and 10: 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 11: Enterprise Knowledge Graphs

Themes:

  • Google’s Knowledge Graph
  • Amazon’s Product Graphs
  • Others (← F1)
  • News Hunter’s infrastructure and architecture

Mandatory readings:

  • Parts 2 and 4 in Blumauer & Nagy's text book
  • Slides from the lecture

Supplementary readings:


 

INFO216, UiB, 2017-2021, Andreas L. Opdahl (c)