面向意义的语义数据建模方法
A Meaning-oriented Approach to Semantic Data Modeling
摘要：
传统的语义模型通常将语义信息表示为实体及其之间的关系。这种方法很简单，但不适合语义数据建模中的许多后验请求。本文提出了一种面向语义的语义数据建模方法，建立了基于图的语义数据模型。在这种方法中，我们使用的含义，即，实体和关系的主观视图来描述语义信息，用包含语义节点和元语义关系的语义图来规定语义概念的分类和复合结构。我们展示了这种面向意义的方法可以解决许多重要的语义表示问题，包括动态专业化和自然加入。
英文摘要：
Semantic information is often represented as the entities and the relationships among them with conventional semantic models. This approach is straightforward but is not suitable for many posteriori requests in semantic data modeling. In this paper, we propose a meaning-oriented approach to modeling semantic data and establish a graph-based semantic data model. In this approach we use the meanings, i.e., the subjective views of the entities and relationships, to describe the semantic information, and use the semantic graphs containing the meaning nodes and the meta-meaning relations to specify the taxonomy and the compound construction of the semantic concepts. We demonstrate how this meaning-oriented approach can address many important semantic representation issues, including dynamic specialization and natural join.
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