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近些年，为支持国际中文教学，学界构建了大量的知识库，但大多是针对某一具体的资源对象，比如搭配库、例句库等，其孤立性问题较为突出。在万物智能的时代背景下，国际中文教学也面临着数智化转型的问题，其对语言教学资源提出了更高的要求，构建细粒度、各个资源对象相互关联的知识图谱成为必要。在教学过程中特别注重“因材施教”,因此，在构建教学用知识图谱时必须考虑知识的来源和用处，即场景化。利用BCC结构检索工具关联各个资源实体，充分考虑知识的来源以及适用的场景，构建了场景化的国际中文教学知识图谱，并初步进行了国际中文智慧教学的工程实践。
Abstract：In recent years, numerous knowledge bases were developed by the academic community to support international Chinese language teaching. However, nost of them targeted at specific resources, such as collocation databases or example sentence collections, resulted in isolation. In the era of ubiquitous intelligence, international Chinese education had to face with the challenge of a digital and intelligent paradigm, with higher demands on language teaching resources. The construction of a fine-grained knowledge graph with various resource entities was considered essential. In educational contexts, particular emphasis was placed on "teaching according to the student′s aptitude". The construction of knowledge graphs for teaching should take into account the provenance and application of knowledge, i.e. scenario-based relevance. The BCC structural retrieval tool was employed to link various resource entities, with careful consideration given to the origin of knowledge and its applicable contexts. As a result, a contextualized knowledge graph for international Chinese language teaching was constructed, and preliminary experiments practices were conducted to explore its application in intelligent international Chinese language education.
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基本信息:
DOI：10.13705/j.issn.1671-6841.2024146
中图分类号:TP391.1;H195.3
引用信息:
[1]杨浩,辛晶,朱珊仪,等.场景化国际中文教学资源知识图谱的构建[J].郑州大学学报(理学版),2026,58(02):40-47.DOI:10.13705/j.issn.1671-6841.2024146.
基金信息:
国家自然科学基金项目(62076038); 北京语言大学国际中文智慧教育工程阶段性成果