MANRIQUE, RUBEN ; PEREIRA, BERNARDO ; MARINO, OLGA ; CARDOZO, NICOLAS ; WOLFGAND, SEAN . Towards the Identification of Concept Prerequisites Via Knowledge Graphs. In: 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT), 2019, Maceió. Los Amitos: IEEE, 2019. v. 19. p. 332-336. doi: 10.1109/ICALT.2019.00101
Towards the Identification of Concept Prerequisites Via Knowledge Graphs
Authors
Ruben Manrique (UNIANDES)
Bernardo Pereira Nunes (PUC-Rio & UNIRIO)
Olga Marino (UNIANDES)
Nicolas Cardozo (UNIANDES)
Sean Wolfgand (UNIRIO)
Abstract
Learning basic concepts before complex ones is a natural form of learning. This paper addresses the specific problem of identifying concept prerequisites to inform about the basic knowledge required to understand a particular concept. Briefly, given a target concept c, the goal is to (a) find candidate concepts in a Knowledge Graph (KG) that serve as possible prerequisite for c; and, (b) evaluate the prerequisite relation between the target and candidates concepts via a supervised learning model. Our approach explores the DBpedia Knowledge Graph and its semantic relations to find candidate concepts as well as a pruning step to reduce the candidate concept set. Finally, we employ supervised learning algorithms to evaluate and generate a list of prerequisites for the target concept. A ground truth created based on expert knowledge is used to validate our approach, exhibiting promising results with a precision varying between 83% and 92.9%.
Keywords:
Concept prerequisite identification, Knowledge graphs
