Learnersourcing Thematic and Inter-Contextual Annotations from Islamic Texts
Amna Basharat · 2016
In this paper, I introduce an approach for obtaining semantic annotations in specialized and knowledge intensive domains. In particular, I consider the case of classical and historic Islamic texts, primarily the Qur'an and the books of Prophetic narrations called the Hadith. I propose formal and scalable methods towards thematic classification, annotion and interlinking for these texts; this is done at various levels of granulartiy that existing research fails to address. I apply a 'semantics driven learnersourcing' methodology, which leverages primarily upon students engaging in typical knowledge seeking and learning scenarios, and embeds within them, semantic annotation tasks. The chosen method also ensures annotation reliability by introducing an 'expert sourcing' workflow tightly integrated within the system. Therefore, quantitative measures of ensuring annotation quality are woven into the very fabric of learnersourcing.