基于本体学习算法的学科本体辅助构建研究——以学习元平台语文学科知识本体的构建为例

Research on Construction of Discipline Domain Ontology base on Skeleton Ontology and Ontology Learning——Taking the Construction of Chinese Discipline Domain Ontology in Learning Cell as an Example

人工构建基础学科领域本体是一项复杂的工作,结合领域专家和本体学习是较快建立学科本体的方法。该研究在分析基础教育语文学科知识分类体系基础上,把语文学科知识本体分为语文知识本体、语文教材本体和语文学科教学本体,构建了语文学科的骨架本体,同时利用TF-IDF算法实现本体学习,提取语文学科中的关键概念和关系,完善语文骨架知识。该研究依托学习元平台实现,从一定规模的领域文档中获取关键概念及其关系,成功构建了包含1303条概念、136条关系、269012条实例的语文学科本体库,并开展了语义检索和学习资源标注应用。

Construction of Basic Education disciplines ontology is a huge amount of work, combined with domain experts and ontology learning is a viable method to build discipline ontology more efficient. In this paper we analyzed the Chinese discipline classification system, build a skeleton ontology; Meanwhile, taking advantage of TF-IDF ontology learning algorithm to extract key concepts and relationships in Chinese. Improve the Skeleton ontology of Chinese. Taking the knowledge of Chinese and the organization of the Chinese as a unity, eventually built more perfect Chinese discipline ontology in Learning Cell which supports experts to build ontologies manually and supports extracting key concepts and their relationships from the field in the domain document by machines. So that it can build a skeleton ontology faster and better.