源文档是用WordNet同义词集构造的XML。
The source document is the XML constructed from the WordNet synonym set information.
单击链接时进入一个指针，它指向一个同义词集，而不是某个单词。
When you click on a link you go to a pointer, which refers to a synset, rather than a word.
清单2中的XSLT被设计成能够显示完整的词型信息以及单个同义词集的信息。
I designed the XSLT in Listing 2 so that it can be used to display full word form information as well as information for an individual synset.
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)。
I frame Pointers between synsets using relationships with the same name as the WordNet Pointers (hypernym, frames, etc.).
这里选择了一种更简单的显示方式，用方括号表示同义词集中的所有单词，包括注解和到其他同义词集的链接。
In this case, I chose to give a simpler display that includes all the word forms for the synset in square brackets, the gloss, and then any further links to other synsets.
我用WordNet的所有同义词集组成了清单2所示的RDF表示，然后对结果数据库进行类似的单一查询。
I assembled an RDF representation such as that in Listing 2 from all the synsets in WordNet and performed a similar monolithic query of the resulting database.
这个问题需要进一步细化上一期文章中给出的代码，具体来说就是需要WordNet服务器返回原始的XML表示的同义词集，而不仅仅返回完整的单词形式。
This problem requires one refinement over the code presented in my last installment — specifically, I need the WordNet server to return raw XML representing synsets, and not just full word forms.
例如，要存储单词car及其两个同义词automobile和vehicle，数据库将在表中包含三个行，每一行将包含相同的同义词集，但是使用不同的同义词开头，如表1所示。
For example to store the word car and its two synonyms, automobile and vehicle, the database will have three rows as shown in Table 1.
利用粗糙集里面的等价关系体现了关键词之间的关系，从而实现了同义词的检索。
It also makes use of the equivalence relation between keywords. this can reflect the relation between keywords, so it can search the Synonyms.
利用粗糙集里面的等价关系体现了关键词之间的关系，从而实现了同义词的检索。
It also makes use of the equivalence relation between keywords. this can reflect the relation between keywords, so it can search the Synonyms.
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