Readings: Difference between revisions

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=Other materials=
=Other materials=


In addition, '''the materials listed below for each lecture is either mandatory or suggested reading.''' The reading list is not final and will change a little as the course progresses.
In addition, '''the materials listed below for each lecture is 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.


Make sure you download the papers and web sites in good time before the exam. That way you are safe if a site becomes unavailable or somehow damaged the last few days before the exam.  
'''The lectures and lectures notes are also part of the curriculum.'''


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 with VPN if you are elsewhere.
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.  


Finally, '''the lectures and lectures notes are also part of the curriculum.'''
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.




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* Web of Data
* Web of Data
* INFO216
* INFO216
* Jena
* RDFlib
* The programming project
* The programming project


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* [http://jena.apache.org/tutorials/ Jena tutorials] (useful starting page)
* [http://jena.apache.org/tutorials/ Jena tutorials] (useful starting page)
* [https://jena.apache.org/documentation/javadoc/jena/ Package org.apache.jena.rdf.model] (supplementary, but necessary for the labs and project - lab 1 and the lecture notes lists the classes and methods you should look at)
* [https://jena.apache.org/documentation/javadoc/jena/ Package org.apache.jena.rdf.model] (supplementary, but necessary for the labs and project - lab 1 and the lecture notes lists the classes and methods you should look at)
Additional resources:
* PechaKucha: [https://www.pechakucha.com/cities/lambertville-new-hope/blogs/creating-a-presentation-update How to Create a PechaKucha Presentation]
* Elevator pitch:[https://www.linkedin.com/learning/creating-your-personal-brand/creating-a-perfect-elevator-pitch Some tips on how to plan your elevator pitch] and an [https://www.youtube.com/watch?v=Q19WW65kLkI example]




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* Decision problems
* Decision problems
* OWL-DL
* OWL-DL
* Programming with OWL-DL reasoners in Jena
* Programming with OWL-DL reasoners in Python


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Revision as of 08:02, 15 January 2020

Text book

The text book 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 is 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.


Lectures

Below are the mandatory and suggested readings for each lecture. All the text-book chapters are mandatory.


Lecture 1: Knowledge Graphs

Themes:

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

Mandatory readings:

Useful materials:


Lecture 2: RDF

Themes:

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


Lecture 3: SPARQL

Themes:

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


Lecture 4: Application Architecture

Themes:

  • Application components
  • Triple stores
  • Visualisation


Lecture 5: RDFS

Themes:

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


Lecture 6: RDFS Plus

Themes:

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


Lecture 7 and 8: Vocabularies

Themes:

  • LOD vocabularies and ontologies


Lecture 9 and 10: Linked Data Resources

Themes:

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


Lecture 11 and 12: Web APIs

Themes:

  • JSON, JSON-LD
  • Semantic web services
  • Semantic workflows


Lecture 13: OWL

Themes:

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


Lecture 14: OWL DL

Themes:

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


Lecture 15: Ontology Development and Evaluation

Themes:

  • Ontology Development 101 method


 

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