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中文摘要：
本体论建设是基于本体论的知识表示的核心任务。这份报纸基于原始结构探索一条语义描述途径，它以一个更精确、具体的方法有益于本体论的关系描述。鉴于原始结构，这份报纸介绍一条途径基于学习模型的一个多标签提取词的原始结构，相关标签繁殖。另外，这份报纸建议一条途径认识到启发式地在词簇聚类原子核。由这条途径，更精确的本体论的关系能自动地被发现。
英文摘要：
Ontology construction is the core task of ontology-based knowledge representation. This paper explores a semantic description approach based on primitive structure, which benefits ontological relation description in a more precise and concrete way. In view of primitive structure, this paper introduces an approach to extract primitive structures of words based on a multi-label learning model, correlated label propagation. Also, this paper proposes an approach to recognize clustering nucleuses in word clusters heuristically. By this approach, more precise ontological relations are able to be discovered automatically.
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