摘要
语义关系能够准确地描述概念间的内在联系,是客观知识体系结构的重要组成部分,而对它的研究一直停留在隐性认知阶段。随着本体、语义Web和叙词表的语义化改造的深入研究和语义关系的不断丰富,需要对现有经典语义关系建立分类体系。本文首先定义了语义关系的概念,系统分析了语义关系的属性和性质,并依据前人的研究和语义关系自身的含义,通过定性分析建立了客观知识体系的经典语义关系的分类体系,最后与基于层次聚类所建立的关系分类树进行对比分析,验证了本文所建立的分类体系的合理性。这为语义关系识别、归类、组合研究奠定了基础。
Semantic relationship can accurately describe the intrinsic relationship between concepts and it is the important component of structure of objective knowledge system. While the research on semantic relations stays in recessive cognitive phase. Moreover, with further study on semanticization transformation of ontology, semantic web and thesaurus and increasing types of semantic relations, it has become more and more important to establish classification system of existing classical semantic relations. Therefore, this paper defines and analyzes concept and characteristics of semantic relation. Then through qualitative analysis, classification system of classical semantic relations in objective knowledge system is established based on previous studies and the meaning of semantic relations. Finally, rationality is proved with comparison of tree of semantic relations based on hierarchical clustering method of relation elements. All of that have laid a good foundation for the research on identification, classification and combination of semantic relations.
出处
《情报学报》
CSSCI
北大核心
2012年第3期259-267,共9页
Journal of the China Society for Scientific and Technical Information
基金
国家自然科学基金项目
关键词
语义关系
分类
层次聚类算法
semantic relations, relation classification, hierarchical clustering algorithm