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 # Abstract
 
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+In recent decades, digitalization technologies have changed
+the way learning situations unfold across the world.
+Meanwhile, technologies like Linked Open Data and online annotation software
+present new opportunities for supporting the movements involved in learning.
+Despite this, little litterature examines the link between these collaboratively
+oriented functionalities and their potential role in learning.
+This project seeks to develop the area by utilising and expanding
+upon the theory of tentacular learning.
+
+To do this, we propose 5-star reading as a framework for working
+with scientific litterature using digital annotations to frame
+RDF ontologies.
+We focus our analysis on Hypothes.is,
+using tentacular learning to understand the effect of digital annotation
+on the learning movements.
+We base this analysis in our own empirical experiences with the tool
+by collaboratively annotating the book by @Schraube2024
+and using the resulting annotations to construct and RDF ontology.
+We use this ontology to evaluate the success of the learning process
+by interviewing the author of the book and comparing his understanding
+with the visualised ontology.
+
+The project concludes that Hypothes.is can contribute to content-related,
+tentacular learning through its functionality,
+and this conclusion is confirmed by the interview.
+The key functionality of Hypothes.is is the context-expanding quality
+of digital annotation.
 
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