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68704-01 - Seminar: Semantic Web & Linked Data 3 KP

Semester Frühjahrsemester 2023
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 TBA
Bemerkungen Students should bring their own laptop to the course.

 

Teilnahmebedingungen The number of participants is limited. In case of over-subscription, students of Digital Humanities will be admitted preferentially.

No-prior knowledge about semantic web is required.
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz

 

Intervall wöchentlich
Datum 23.02.2023 – 01.06.2023
Zeit Donnerstag, 16.00-18.00 Kollegienhaus, Hörsaal 119
Datum Zeit Raum
Donnerstag 23.02.2023 16.00-18.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 02.03.2023 16.00-18.00 Uhr Fasnachstferien
Donnerstag 09.03.2023 16.00-18.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 16.03.2023 16.00-18.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 23.03.2023 16.00-18.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 30.03.2023 16.00-18.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 06.04.2023 16.00-18.00 Uhr Ostern
Donnerstag 13.04.2023 16.00-18.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 20.04.2023 16.00-18.00 Uhr fällt aus
Donnerstag 27.04.2023 16.00-18.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 04.05.2023 16.00-18.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 11.05.2023 16.00-18.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 18.05.2023 16.00-18.00 Uhr Auffahrt
Donnerstag 25.05.2023 16.00-18.00 Uhr Kollegienhaus, Hörsaal 119
Donnerstag 01.06.2023 16.00-18.00 Uhr Kollegienhaus, Hörsaal 119
Module Modul: Creating, Analyzing and Visualizing of Data (Master Studienfach Digital Humanities)
Modul: Methoden der Gesellschaftswissenschaften (Masterstudium: European Global Studies)
Leistungsüberprüfung Lehrveranst.-begleitend
Hinweise zur Leistungsüberprüfung There is no examination for this course.

Students have to submit solutions to 4 exercises given in the course before the specified deadline. The total grade accumulated from the exercises will consist 40% of your final grade.

Students should define a linked open data project and apply the learned techniques to complete this project and create a knowledge graph. A final report should be written for the project that describes the data modelling, knowledge graph creation, as well as analysis of the data through defining questions and answering them by querying the graph. The final project consists 60% of your final grade.

Note: students should work on exercises and the final project 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

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