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| Semester | spring semester 2024 |
| Course frequency | Irregular |
| Lecturers | Sepideh Alassi (sepideh.alassi@unibas.ch, Assessor) |
| Content | A formalized computable representation of human knowledge has long been a goal of data science. Several approaches have been proposed since the dawn of computer science and artificial intelligence to create a web of data instead of web of documents. In this course we will introduce the most recent approaches based on the semantic web standards (RDF, RDFS, RDF-star, SPARQL, SPARQL-star, and OWL). We will then describe how these standards can be used to achieve the goals of a distributed shared knowledge infrastructure, Linked Open Data (LOD). The course guides students through the introductory stages to create LOD-based knowledge graphs in order to make every piece of information machine-readable. |
| Learning objectives | At the end of this course, the students (1) understand what Linked Data is, and are able to make use of the concepts and goals of the Linked Open Data movement (2) understand the fundamental ideas of knowledge representation (entities, concepts, instances, ontologies, etc) (3) are very familiar with the Semantic Web standards (RDF, RDFS, RDF-star, SPARQL, SPARQL-star, and OWL) (4) know about the linked open data storages and have practical experience of storing their project data as RDF triples to create a knowledge graph (5) can query and visualise the knowledge graph to analyse data |
| Bibliography | - A Developer’s Guide to the Semantic Web, by Liyang Yu - Programming the Semantic Web, by Toby Segaran, et. al. - Semantic Web for the Working Ontologist, by Dean Allemang, and Jim Hendler |
| Comments | Students should bring their own laptop to the course. |
| Admission requirements | Prior knowledge of Python programming language is required. The students must either have completed the "Introduction to Python for Humanities" course 64429-01 or have fundamental knowledge of Python. If you have not participated in the mentioned course, to be admitted to the course, please contact Dr. Sepideh Alassi providing evidence of your Python knowledge. |
| Course application | Students must register in ADAM. The number of participants is limited. In case of over-subscription, students of Digital Humanities will be admitted preferentially. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Thursday | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Date | Time | Room |
|---|---|---|
| Thursday 29.02.2024 | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Thursday 07.03.2024 | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Thursday 14.03.2024 | 16.15-17.30 | Kollegienhaus, Hörsaal 117 |
| Thursday 21.03.2024 | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Thursday 28.03.2024 | 16.15-18.00 | Ostern |
| Thursday 04.04.2024 | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Thursday 11.04.2024 | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Thursday 18.04.2024 | 16.15-18.00 | Kollegienhaus, Hörsaal 116 |
| Thursday 25.04.2024 | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Thursday 02.05.2024 | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Thursday 09.05.2024 | 16.15-18.00 | Auffahrt |
| Thursday 16.05.2024 | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Thursday 23.05.2024 | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Thursday 30.05.2024 | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Modules |
Modul: Creating, Analyzing and Visualizing of Data (Master's degree subject: Digital Humanities) Modul: Methoden der Gesellschaftswissenschaften (Master's Studies: European Global Studies) Modul: Transfer: Digital History (Master's degree program: European History in Global Perspective) |
| Assessment format | continuous assessment |
| Assessment details | There is no examination for this course. Students must submit solutions to 4 exercises given in the course before the specified deadline. The accumulated points from the exercises will be considered for evaluation. You must have obtained 65% of the total points for exercises to pass the course. Note: students should work on exercises in groups of 3-4. |
| Assessment registration/deregistration | Reg.: course registration; dereg.: not required |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Humanities and Social Sciences, studadmin-philhist@unibas.ch |
| Offered by | Digital Humanities Lab |