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||Mid-term follow-up meeting - 2 with short presentations from students|
|10.11.2020||Deadline for submitting peer reviews|
|20.11.2020||Deadline for sending reports of the individual assignment|
Obligatory Individual Assignment
More information will come.
The deadline is 25.11.2019. Please send your reports 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