A relationship selection task

An intelligent textbook is a traditional textbook enhanced with a knowledge graph (KG) making it a source of enhanced learning and instruction. The nodes of a KG are key terms in a textbook and the edges are the relationships between the terms. Relationship selection is the process of selecting the most appropriate relationship type between two different terms to be incorporated into a KG. We demonstrate a tool that allows learners to select relationships between terms embedded in a textbook sentence. We created this tool as a key component of a scalable infrastructure for KG construction through crowdsourcing of relationships between automatically extracted terms from a textbook. This task has the potential to be flexibly adapted to different textbooks and content domains. It is also suitable for encouraging relational processing and, we believe that it has instructional value. Therefore, our future work is focused on the pedagogical evaluation of the relationship selection task with students reading from a textbook.