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| Semester | Frühjahrsemester 2024 |
| Angebotsmuster | unregelmässig |
| Dozierende | Sepideh Alassi (sepideh.alassi@unibas.ch, BeurteilerIn) |
| Inhalt | 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. |
| Lernziele | 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 |
| Literatur | - 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 |
| Bemerkungen | Students should bring their own laptop to the course. |
| Teilnahmebedingungen | 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. |
| Anmeldung zur Lehrveranstaltung | Students must register in ADAM. The number of participants is limited. In case of over-subscription, students of Digital Humanities will be admitted preferentially. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Donnerstag | 16.15-18.00 | Kollegienhaus, Hörsaal 117 |
| Datum | Zeit | Raum |
|---|---|---|
| Donnerstag 29.02.2024 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 07.03.2024 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 14.03.2024 | 16.15-17.30 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 21.03.2024 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 28.03.2024 | 16.15-18.00 Uhr | Ostern |
| Donnerstag 04.04.2024 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 11.04.2024 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 18.04.2024 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 116 |
| Donnerstag 25.04.2024 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 02.05.2024 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 09.05.2024 | 16.15-18.00 Uhr | Auffahrt |
| Donnerstag 16.05.2024 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 23.05.2024 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Donnerstag 30.05.2024 | 16.15-18.00 Uhr | Kollegienhaus, Hörsaal 117 |
| Module |
Modul: Creating, Analyzing and Visualizing of Data (Master Studienfach: Digital Humanities) Modul: Methoden der Gesellschaftswissenschaften (Masterstudium: European Global Studies) Modul: Transfer: Digital History (Master Studiengang: Europäische Geschichte in globaler Perspektive ) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | 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. |
| An-/Abmeldung zur Leistungsüberprüfung | Anmelden: Belegen; Abmelden: nicht erforderlich |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Historische Fakultät, studadmin-philhist@unibas.ch |
| Anbietende Organisationseinheit | Digital Humanities Lab |