ADOL: a novel framework for automatic domain ontology learning

• DOI: 10.1007/s11227-020-03261-7
• Publication Date: 2020-03-28T17:02:41Z
• Authors: Jizhi Chen; Junzhong Gu
• Keywords: 0301 basic medicine; 03 medical and health sciences; 4. Education

Ontology, as a semantic representation of a shared conceptualization, makes knowledge machine-readable and easy to spread. One of its typical applications is used to develop e-learning systems with Educational Ontology. Ontology can help students master knowledge architecture of required subjects and make scattered courseware more systematic. A big challenge is how to construct Educational Ontology to describe systematic knowledge of different subjects automatically. Currently, most of the ontologies are developed and extended manually, which requires the developers to possess certain professional knowledge and is time-consuming. In this paper, a framework to construct and extend Educational Ontology automatically is proposed.2 The proposed ontology learning framework, called ‘ADOL,’ can convert domain textbooks into a corresponding ontology automatically and efficiently. A case study on High School Physics shows that our approach is feasible and efficient.