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ADOL: a novel framework for automatic domain ontology learning
The Journal of Supercomputing ( IF 3.3 ) Pub Date : 2020-03-28 , DOI: 10.1007/s11227-020-03261-7
Jizhi Chen , Junzhong Gu

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.

中文翻译:

ADOL:自动领域本体学习的新框架

本体作为共享概念化的语义表示,使知识机器可读且易于传播。其典型应用之一是用于开发具有教育本体的电子学习系统。本体可以帮助学生掌握必修科目的知识架构,使分散的课件更加系统化。一个很大的挑战是如何构建教育本体来自动描述不同学科的系统知识。目前大部分本体都是手工开发和扩展,需要开发者具备一定的专业知识,耗时较长。在本文中,提出了一个自动构建和扩展教育本体的框架。 2 提出的本体学习框架,称为“ADOL”,'可以自动高效地将领域教科书转化为相应的本体。高中物理案例研究表明,我们的方法可行且有效。
更新日期:2020-03-28
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