Knowledge and Data

Owner	Bachelor Informatiekunde
Coordinator	Victoria Degeler
Part of	Exchange Programme Faculty of Science, specialisation BSc Computer/Information Sciences, year 1Bachelor Information Sciences, year 2
Links	Visible Learning Trajectories

Course manual 2023/2024

Course content

Knowledge and Data

Content

1. Datanose
2. Docent, times
3. Literature
4. Week by Week/Course Plan
5. Examination/toetsing

Docent

1. Lecturers: Victoria Degeler and Imane Tarrahi
2. For assistants, times, see Datanose

Learning Goals:

• Learn the requirements of representing knowledge at Web scale
• Learn and use web query and modeling languages and standards (e.g. RDF, RDFS, SPARQL, SHACL, OWL) and automatic reasoning capabilities
• Obtain familiarity with the research fields of Semantic Web, Knowledge Graphs, Knowledge Representation, Information Extraction

 

Literature

• The Web of Data, Aidan Hogan
  Springer, 2020, https://link.springer.com/book/10.1007/978-3-030-51580-5

Lecture notes and Slides

Each week/topic will be accompanied by slides. 

Slides and Notes can be found in the Files tab in Canvas.

Weekly course plan

You can find the materials of every week under Modules in Canvas. Here is an overview.

Week	Topic
1	Description of the course. Semantic Web.
2	RDF and RDFS
3	OWL
4	Mid-term exam
5	SHACL
6	SPARQL
7	Linked Data
8	Final exam

Note that in 2024 the Final exam is scheduled on Friday of week 7 (22 March 2024).

Examination/toetsing

The assessment is done based on the weekly exercises (30%), and two exams (mid-term and final, 70% total):

For grading exams, we follow in this course the rules of the OER, which can be found at https://student.uva.nl/onderwerpen/onderwijs-en-examenregelingen-oer

Point distribution:

Weekly assignments - 60 points

Mid-term exam - 70 points

Final exam - 70 points

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Total: 200 points, translated into 1-10 grade, rounded to the nearest half-point (except for 5.5, in which case it will be rounded to the nearest full point).

In order to pass the course, the following conditions must be met:

* Your total points for the course must be at least 110.

* Your total points for the exams (mid-term+final) must be at least 70.

 

Schedule

• See Datanose
• Weekly exercises are given after each lecture on Tuesday, with the deadline next week Monday. 
• Practicals on Thursday are recommended for working on solving the exercises with the possibility of receiving feedback or guidance from TAs.
• Discussion forums on Canvas can also be used for further questions.

Fraud, plagiarism, sharing answers

• We assume good intentions in this course: if fraud is suspected, the parties involved will be consulted before action is taken. However, it is possible that (suspected) fraud will be reported to the Board of Examiners and lead to exclusion from (parts of) the course.

Study materials

Literature

• https://link.springer.com/book/10.1007/978-3-030-51580-5

Objectives

• Learn the requirements of representing knowledge at Web scale
• Learn and use web query and modeling languages (e.g. RDF, RDFS, SPARQL, OWL) and automatic reasoning capabilities
• Obtain familiarity with the research fields of Semantic Web, Knowledge Graphs, Knowledge Representation, Information Extraction

Teaching methods

• Lecture
• Computer lab session/practical training
• Self-study

Learning activities

Attendance

Programme's requirements concerning attendance (OER-B):

• For practical trainings and tutorials, with assignments, attendance is obligatory, unless stated differently in the course catalogue. When students do not meet the requirements for attendance, he or she cannot finish the course with a pass mark. The requirements concerning attendance for lectures/seminars, if applicable, are stated in the course catalogue.
  

Assessment

Item and weight	Details
Final grade
30% Weekly Assignments
35% Midterm exam
35% Final Exam
Final grade after retake
30% Weekly Assignments
70% Hertentamen digitaal

The assessment is based on the marks for the weekly assignments (60 points, 30% total), mid-term exam, covering the first half of the course (70 points, 35% total) and the final exam, covering the second half of the course (70 points, 35% total). The final total 200 points are translated into 1-10 grade, by rounding to the nearest half-mark, except between marks 5.0 and 6.0, which will be rounded to the nearest full mark.

Inspection of assessed work

A feedback session will be organized.

Assignments

See above

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl

Course structure

Contact information

Coordinator

• Victoria Degeler

Docenten

• Victoria Degeler
• Imane Tarrahi

TAs:

• Erkan Karabulut
• Robin van Beek
• Max Nes
• Anna van der Zee
• Arjuna Beuger
• Rhea Huang
• Anasimon Wissa