搜索和浏览分类法、创建、编辑和删除词汇和分支的功能必须容易使用而且直观。
Capabilities to search and navigate the taxonomy, create, edit, and delete terms and branches must be easy and intuitive to use.
他们需要强大的搜索和浏览功能，以便快速地找到词汇和分类法分支。
They need powerful search and browse capabilities to quickly locate terms and taxonomy branches.
标记或大众分类法是一种协作方法，可以标识信息小部件以增强任何网站的功能，并能更加快速地搜索所需信息。
Tagging or folksonomy is a collaborative means of identifying information widgets to increase the power of any web site and searching required information in a faster way.
标记和社会化搜索：这是分类法的终结吗？
新的搜索技术（比如语义性和可操作的搜索）通过添加企业分类法结构中的知识而大大增强了。
New search techniques, like semantic and actionable search, are greatly improved by adding the knowledge that is already built into an enterprise taxonomy structure.
首先，在创建搜索索引时，根据文档是否满足规则，将分类法目录应用于文档。
First, when the search index is created, taxonomy categories are applied to documents based on whether a document satisfies the rule.
最近，企业分类法还用来增强企业搜索。
More recently, enterprise taxonomies are also being used to enhance corporate search.
本文主要关注omnifind如何与SchemaLogic Suite和ICM集成在一起，形成一个真正的企业搜索系统，可以利用分类法和自动分类的强大功能。
This article takes the viewpoint of how OmniFind can be integrated with SchemaLogic Suite and ICM into a true enterprise search system leveraging the power of taxonomies and auto-classification.
分类法可以通过添加同义词、首字母缩写词和缩写词，改进搜索查询
Taxonomies can enhance search queries by adding synonyms, acronyms, and abbreviations
语义性搜索(Semanticsearch)：用来自不同来源的相关数据增强搜索；这些数据通过使用企业分类法来描述。
Semantic search: search enhanced by relevant data from different sources; this data is described by using an enterprise taxonomy.
分类的搜索结果(Categorized searchresults)：搜索结果分组进分类法所定义的有意义且稳定的分类。
Categorized search results: search results are grouped into a meaningful and stable classification defined by the taxonomy.
在本节中定义的几个api允许你保存类别信息和标识信息，这些信息将用于支持对分类法引用的搜索。
Several of the API's defined in this section allow you to save categorization and identification information that is used to support searches that use taxonomy references.
本文就分类搜索引擎与传统分类法体系所存在的差异，从不同的角度进行分析和比较，并提出了网络分类法的改进意见。
It was to analyze and compare the difference between searching engine classify and traditional classify in different aspect, and put forward ameliorant opinion in Internet classify.
在设计时，采用两级SVM分类器级联的方式，核函数采用径向基函数，并且用网格搜索法来选取合适的参数。
Two-level-classifier is designed to recognized urinary sediments. The kernel function uses the radial basis function and grid-search method is used to select the parameters of SVM.
在设计时，采用两级SVM分类器级联的方式，核函数采用径向基函数，并且用网格搜索法来选取合适的参数。
Two-level-classifier is designed to recognized urinary sediments. The kernel function uses the radial basis function and grid-search method is used to select the parameters of SVM.
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