Contents

About the course

The students get an orientation of the theoretical, methodological and technological background and of the ongoing standardization work that support semantic Web.

You will gain:

Mandatory activities: Peer review, project report, final presentation.

Final grade: Project report and final presentation.

Introduction for Fall 2020

Introductory presentation


Schedule

DateTitle
24.09.2020Introductory meeting
09.10.2020Deadline for sending the topics for individual assignment

22.10.2020

29.10.2020

Mid-term follow-up meeting - 1 with short presentations from students
05.11.2020Deadline for submitting the documents for peer feedback
10.11.2020Deadline for submitting peer reviews/feedback
16.11.2020Mid-term follow-up meeting - 2 with short presentations from students
23.11.2020Deadline for sending reports of the individual assignment (by e-mail to Özlem Özgöbek)
26.11.2019

Oral exam

https://www.ntnu.no/studier/emner/TDT4506#tab=omEksamen



Obligatory Individual Assignment

You can choose one of the following obligatory assignments:

Option 1:

Write a report (max 10 pages) on a topic of your choice (to be agreed upon with the teacher).

You can choose a topic which will be close to your master thesis topic. You are not allowed to copy text from this report to your thesis or fall report, but you can re-use the ideas and insight you gain.

While deciding on the topic it is recommended to talk to your supervisor.


Option 2:

Develop an RDF(S) ontology (or a dictionary) on a chosen topic (to be agreed upon with the teacher) and write a short report (max 5 pages) explaining the details of your work.

Explain every aspect of your ontology. Explain the assumptions underlying your ontological choices.

The ontology should not exceed 30 classes and 30 instances. The modeling language should be Turtle or a similar syntax. You can use any modeling software.

If you choose this task, you may refer to the individual assignments in the previous years in this course.


Mandatory peer feedback:

Document to submit: (Deadline: 5 November 2020)

For this task please prepare a 1-2 page document where you explain your obligatory assignment in more detail.

Peer feedback: (Deadline: 10 November 2020)

After submitting your document to peergrade, you will be able to see the feedback form. There is an explanation of the task in the system.


More information has been sent by e-mail.

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PAST ASSIGNMENTS

Obligatory assignment from 2019.



About the Exam (2019) 

Oral exam will take place on 28 November 2019. This will be the only exam in this course. The schedule for the exam will be announced through the official channels a few days before the exam, it won't be announced on this page.

For the sensors to read your reports before the oral exam, you need to send them a few days before the exam by e-mail to ozlem.ozgobek@ntnu.no.

The deadline for sending the reports is 25 November 2019, 07.00 AM.

Presentation Details

During the oral exam, each student will have 20 minutes. This includes the presentation of the individual assignment and questions from the sensors. For the presentation you don't need any slides, so don't prepare any slides. We will ask you to explain your assignment orally, you can use a white board if needed. Please bring a printed copy of your report with you. Questions from sensors will include details from your assignment and some basic knowledge from the book.




Course Material

Books:

Semantic Web for the Working Ontologist, Second edition: Effective modeling in RDFS and OWL by Dean Allemang and James Hendler, Morgan Kaufmann, 384 pp. (Available online at NTNU Library)

Exploiting Linked Data and Knowledge Graphs in Large Organisations (Available for free on the NTNU-network: https://link.springer.com/book/10.1007/978-3-319-45654-6)


Presentations:

Presentations from 2019

Topic

 RDF

 RDFS

 OWL


Presentations from 2018

TitleSlides
Introduction 2018IntroductionTDT44.pdf


Presentations from 2017

TitleSlides
IntroTDT44-Intro.pdf

1: Enterprise Knowledge Graph: An Introduction

Kap 1 og 2
2: Knowledge Graph FoundationsKap 1 og 2

3: Knowledge Architecture for Organisations

Extra: Turle

Extra: SPARQL

Kap 3

Turtle presentation.pptx

SPARQL.pdf

4: Construction of Enterprise Knowledge Graphs(I)

 Kap 4
5: Construction of Enterprise Knowledge Graphs(II)* Kap 5
6: Understanding Knowledge Graphs
 Kap 6
7: Question Answering and Knowledge Graphs Kap 7
8: Success Stories Kap 8
9: Enterprise Knowledge Graph: Looking into the Future Kap 9


Other Useful Material:

TDT44 Individual Assignment 2017


Research Papers

You may also read two papers, on Logics and Turtle, and if you are interested:

External links

Part 1 and part 2 of this tutorial can be relevant for our class:

W3 : www.w3.org

OWL: https://www.w3.org/2001/sw/wiki/OWL

Schema.org

Friend of a friend ontology: https://en.wikipedia.org/wiki/FOAF_(ontology)

Blog post - knowledge graphs: https://medium.com/@sderymail/challenges-of-knowledge-graph-part-1-d9ffe9e35214





Teachers

Özlem Özgöbek (Teacher), ozlem.ozgobek at ntnu.no, room  ITV-158)
(Professor Jon Atle Gulla (Examiner), jag at ntnu.no, room  ITV-114)