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:
- Background theoretical knowledge
- Insight to relevant problems within Web information resources and services
- Insight to how to use semantic web technology to solve problems in different domains
Mandatory activities: Peer review, project report, final presentation.
Final grade: Project report and final presentation.
Introduction for Fall 2020
|09.10.2020||Deadline for sending the topics for individual assignment|
|Mid-term follow-up meeting - 1 with short presentations from students|
|05.11.2020||Deadline for submitting the documents for peer feedback|
|10.11.2020||Deadline for submitting peer reviews/feedback|
|16.11.2020||Mid-term follow-up meeting - 2 with short presentations from students|
|23.11.2020||Deadline for sending reports of the individual assignment (by e-mail to Özlem Özgöbek)|
Obligatory Individual Assignment
You can choose one of the following obligatory assignments:
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.
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.
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 email@example.com.
The deadline for sending the reports is 25 November 2019, 07.00 AM.
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.
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 from 2019
Presentations from 2018
Presentations from 2017
1: Enterprise Knowledge Graph: An Introduction
|Kap 1 og 2|
|2: Knowledge Graph Foundations||Kap 1 og 2 |
3: Knowledge Architecture for Organisations
4: Construction of Enterprise Knowledge Graphs(I)
|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:
- To get more information about the last year's assignment please click here.
- Example solutions for the assignment of 2017.
You may also read two papers, on Logics and Turtle, and if you are interested:
- The Unreasonable Effectiveness of Data.pdf is not really about the Semantic Web, but I post it here as a good read for those who like that.
- https://www.w3.org/TR/owl2-primer/ might be useful when comparing RDF vs. Turtle etc.
W3 : www.w3.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