在数据部分，数据值根据路径和数据类型被分组为同质和语义相关的容器。
In the data part, data values are grouped into homogenous and semantically related containers according to their path and data type.
为了处理变量名和实际值，Bison 的语义类型必须进行增强
To handle variable names and real values, the semantic type of Bison has to be enhanced
在企业搜索中，搜索分许多类型：关键字、布尔值、范围、多层面元数据(faceted metadata)、语义、自然语言和参数化。
Within enterprise search, there are many different types of searches: keyword, Boolean, range, faceted metadata, semantic, natural languages and parameterized.
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