Readings: Difference between revisions

From info216
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* [http://lod-cloud.net The Linking Open Data (LOD) cloud diagram]
* [http://lod-cloud.net The Linking Open Data (LOD) cloud diagram]
* [http://stats.lod2.eu/ LODstats]
* [http://stats.lod2.eu/ LODstats]
* [http://www.dbpedia.org DBpedia]
* [http://www.wikidata.org Wikidata]
* [http://www.geonames.org GeoNames]
* [[:File:S10-SemanticDatasets-22.pdf | Slides from the lecture]]
* [[:File:S10-SemanticDatasets-22.pdf | Slides from the lecture]]



Revision as of 11:29, 7 April 2017

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. 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. Note that 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.

Finally, the lectures and lectures notes are also in the curriculum.

Lectures

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

Lecture 1: Introduction

Lecture 2: RDF

Lecture 3: RDFS

(supplementary, but perhaps necessary for the labs and project)

Lecture 4: Architecture (and starting with RDFS Plus)

If we have time at the end, we will also review basic OWL concepts from "RDFS Plus":

  • Chapter 8 in Allemang & Hendler. In text book.

Lecture 5: Services

Lecture 6: SPARQL

(supplementary, but perhaps necessary for the labs and project)

Lecture 7: Visualisation

Lecture 8: RDFS Plus

  • Chapter 8 in Allemang & Hendler. In text book.
  • Slides from the lecture.
  • Javadoc for
    • OntModel (createOntologyModel)
    • OntModelSpec (the different reasoners are outlined here (very long), OWL_MEM_RULE_INF is a good starting point)
    • OWL (defines built-in OWL resources)
    • OntClass, Individual, ObjectProperty, DatatypeProperty
(supplementary, but perhaps necessary for the labs and project)

Lecture 9: Vocabularies

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. schema.org is less important because you have already had about it in INFO116.

Lecture 10: Linked Open Data (LOD)

Lecture 11: Open semantic datasets

Lecture 12: OWL (tentative)

  • Chapters 11-12 in Allemang & Hendler. In text book.
  • OWL2 Overview
  • OWL2 Primer
  • OWL2 Web Ontology Language Manchester Syntax
  • Jena Ontology API

Lecture 13: OWL DL (tentative)

  • Nardi & Brachman: Introduction to Description Logics. Chapter 1 in Description Logic Handbook. Paper. [2]
  • Baader & Nutt: Basic Description Logics. Chapter 2 in Description Logic Handbook. Paper. [3]
  • Complexity of Reasoning in Description Logics [4]

Lecture 14: Ontology development (tentative)

  • Chapters 14-16 in Allemang & Hendler. In text book.
  • Noy & McGuinness (2001): Ontology Development 101: A Guide to Creating Your First Ontology. Paper. [5]
  • Sicilia et al. (2012): Empirical findings on ontology metrics. Paper. [6]
INFO216, UiB, Spring 2017, Prof. Andreas L. Opdahl (c)