August 2022
Intermediate to advanced
441 pages
11h 26m
Chinese
Content preview from Python文本分析
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知识图谱
｜
373
12.5.6
实体链接
在前面几节中，我们开发了一套流水线操作，目的是统一命名实体的不同指称。但是，
所有这些都是基于字符串的操作，除了句法表示之外，字符串“
U.S. Department of
Justice
”与其代表的现实世界的实体之间并没有任何连接。实体链接任务的目标就
是从全局消解命名实体，并将它们链接到真实世界中唯一标识的实体。实体链接就
是“从字符串转化为事物”（
strings to things
）。
注
8
从技术的角度来说，这意味着将每个指称映射到一个
URI
。而
URI
反过来对应
的就是某个已知知识库中的实体。这个知识库可以是公共本体，比如维基数据或
DBpedia
，也可以你们公司私有的知识库。
URI
可以是
URL
（比如网页），但不一
定必须是
URL
。例如，“
U.S. Department of Justice
”的维基数据
URI
是：
http://
www.wikidata.org/entity/Q1553390
，但也可以是某个记载了该实体相关信息的网页。
如果你构建自己的知识库，则没必要为每个
URI
建立一个网页；只需唯一即可。另外，
DBpedia
和维基数据使用了不同的
URI
，但是你可以将
DBpedia
上找到的维基数据
的
URI
作为交叉引用。当然，两者都包含维基百科网页的链接。
如果实体以全名的形式出现，则实体链接非常简单，比如“
U.S. Department of
Justice
”。但是没有“
U.S.
”的“
Department of Justice
”就有很大歧义，因为许多 ...
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.