WordNet: The actual lexical database files.
WordNet：词法数据库文件。
The noun "identifier" has one sense in WordNet.
名词“identifier”在WordNet中有一种意义。
The noun "purchase order" has one sense in WordNet.
名词“purchaseorder”在WordNet中有一种意义。
The next step is to bind the reasoner to the WordNet ontology.
下一步是将reasoner与WordNet本体绑定。
WordNet is a database of English words and lexical relationships between them.
WordNet是英文单词及其词法关系的数据库。
The content of the sample-gloss comes from the dynamic query to the WordNet server.
sample - gloss的内容来自对WordNet服务器的动态查询。
The source document is the XML constructed from the WordNet synonym set information.
源文档是用WordNet同义词集构造的XML。
My task is now to use this to create a tool for serializing WordNet into XML upon request.
现在的任务是利用这种数据结构创建一个工具将WordNet序列化为所需要的XML。
This code is different from Listing 3 in that it pulls the wnssid (the WordNet synsetid) only.
这个代码与清单3中的代码的区别在于它只提取wnssid (WordNetsynsetid)。
PyWordNet does not come with the WordNet database files. These you must download separately.
PyWordNet 没有附带WordNet数据库文件，这些文件必须单独下载。
Here, I build on the basic code to extract the lexical information from WordNet in XML form.
下面我们将编写以xml形式从WrodNet中抽取词法信息的基本代码。
I think that most applications of WordNet in semantic transparency involve working with Pointers.
我认为，语义透明的多数WordNet应用程序都需要处理指针。
I'm not sure whether it's safe to use across WordNet versions, but you shouldn't usually need to.
我不知道跨越不同的WordNet版本是否安全，但通常不需要这样做。
Once the model has been created, the WordNet RDF documents can be read in from the filesystem.
创建了模型后，可以从文件系统中读入 WordNetRDF文档。
Actually, they are the index Numbers returned by my query to my local copy of the WordNet database.
实际上，它们是我对我的WordNet数据库本地副本的查询返回的索引数字。
WordNet is a very large project based on data whose basic underpinnings are very rigorously defined.
WordNet是一个很大的基于数据的项目，数据的基础都有非常严格的定义。
I also show how you can use the WordNet XML representation and server in search engine enhancement.
我还将说明如何使用WordNetXML表示和服务器来改进搜索引擎。
Because the WordNet documents don't contain any relative URIs, this parameter can be given as null.
因为WordNet文档不包含任何相对uri，所以此参数可以指定为null。
I've discussed WordNet recently in this column; you can basically use it as a machine-readable dictionary.
我曾经在本专栏最近的一期文章中讨论过WordNet，基本上可以将其作为一种机器可读的词汇表使用。
Indeed, the WordNet model says that "wisteria" is a hyponym of "vine," and "vine" is a hyponym of "traceophyte."
实际上，WordNet模型表明“wisteria”是“vine”的下位词，“vine”是“traceophyte”的下位词。
This article thus closes the loop by presenting an RDF representation of the XML WordNet system I have presented so far.
因此本文将提出到目前为止一直讨论的XMLWordNet系统的RDF表示作为结束。
Now that the wordnet model is populated, you can access it later with a call to ModelMaker.openModel("wordnet",true);
由于已经填充了wordnet模型，以后可以通过调用 ModelMaker.openModel("wordnet",true);来访问该模型。
I frame Pointers between synsets using relationships with the same name as the WordNet Pointers (hypernym, frames, etc.).
我使用和WordNet指针同名的关系建立同义词集间的指针(hypernym、frames等)。
You do not have to actually build the WordNet package; it's enough to just unpack the downloaded source to a suitable location.
不需要构建wordnet包，只要将下载的文件解压到适当位置就足够了。
This wraps up my three-part discussion of how to use the WordNet natural language semantic database in XML and RDF applications.
我们用了三篇文章讨论如何在xml和rdf应用程序中使用WordNet自然语言语义数据库，这是最后一篇。
The following example shows how to apply your OWL WordNet ontology to the WordNet model itself to create an inference model.
下例显示了如何将OWLWordNet本体应用到WordNet模型自身以创建推理模型。
To demonstrate how to import and persist a model, I'm going to import into MySQL an RDF representation of the WordNet 1.6 database.
为了说明如何导入和持久化模型，我将WordNet 1.6数据库的RDF表示导入到MySQL中。
There are many possible serializations of WordNet, but I'll start with the simplest one: plain old XML with a minimum of namespaces.
序列化WordNet有很多方法，我们从最简单的开始：只有少量名称空间的简单的老式XML。
This article is the first in a series that will take an updated look at WordNet 2.0 and how it can be used with XML and RDF technology.
我们将通过一系列文章来重新考察WordNet 2.0 及其在XML和RDF技术中的应用，这是第一部分。
I'm actually going to use a subset of the WordNet model here, containing only those nouns beneath "plant life" in the hyponym hierarchy.
这里我实际将使用WordNet模型的子集，仅包含下位词层次结构中“plantlife”之下的那些名词。
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