The other tables in the EIDB are discussed below.
EIDB中的其他表在后面讨论。
The data model used for the EIDB is shown in Figure 4.
EIDB使用的数据模型见图4。
After the last document has been processed, the mentions and DOCENT tables in the EIDB hold information about all the name mentions that were found.
在处理完最后一个文档之后，EIDB中的MENTIONS和docent表保存着找到的所有人名提及的信息。
It pulls person instances from the instances table in the EIDB, and through joins with other tables finds the documents in which the person instances are mentioned.
它从EIDB中的instances表中取出人实例，并通过与其他表进行联结，寻找提到这个人实例的文档。
The INSTANCES table in the EIDB records information about instances, and the DE_INST table maintains the links from each document entity to the corresponding instance.
EIDB 中的 INSTANCES 表记录关于实例的信息，DE_INST表维护从每个文档实体到对应的实例的链接。
To accommodate this future possibility, the co-mention data in the EIDB is cast into a triples-oriented schema by defining a view on the database that has this structure.
为了便于以后提供这种功能，将EIDB中的共同提及数据转换为一个面向三元组的模式，实现的方法是在数据库上定义一个具有这种结构的视图。
Different components read documents from the source database, analyze the text to find mentions of names, and store the results in a new database, the Extracted Information database or EIDB.
不同的组件从源数据库中读取文档、分析文档来寻找提到的人名以及将结果保存到一个新数据库(ExtractedInformationDatabase,EIDB)中。
Different components read documents from the source database, analyze the text to find mentions of names, and store the results in a new database, the Extracted Information database or EIDB.
不同的组件从源数据库中读取文档、分析文档来寻找提到的人名以及将结果保存到一个新数据库(ExtractedInformationDatabase,EIDB)中。
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