Simplifying license attribution for OER with emacs-reveal

Lechtenbörger Jens


Zusammenfassung
Open Educational Resources (OER) come with different license terms that require different forms of attribution. Properly attributing OER with licensing information has previously been identified as one of the most time-consuming factors of OER projects. As shown in this paper, the semantic annotation standard CC REL lacks features that are necessary for correct attribution with popular Creative Commons licenses. The software emacs-reveal addresses this gap in the context of OER slideshows, which may contain figures under different licensing terms: For each figure, a simple text file stores metadata building upon the vocabulary of CC REL (with pragmatic extensions) and can be shared along with the figure. From that metadata, the software generates attribution statements, both in machine-readable form (based on RDFa) and in human-readable form. The novel resulting process avoids manual copying of relevant license information, which is time-consuming and error-prone.

Schlüsselwörter
Open Educational Resource; OER; Attribution; Creative Commons; RDFa; FLOSS



Publikationstyp
Forschungsartikel in Sammelband (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2019

Konferenz
17. Fachtagung Bildungstechnologien (DELFI 2019)

Konferenzort
Berlin, Deutschland

Buchtitel
DELFI 2019

Herausgeber
Pinkwart Niels, Konert Johannes

Erste Seite
205

Letzte Seite
216

Verlag
Gesellschaft für Informatik e.V.

Ort
Bonn

Sprache
Englisch

ISBN
978-3-88579-691-6

Gesamter Text