• You need to add a wildcard to find a document that contains the search term as part of a compound word.

    需要添加一个通配符来将搜索作为复合词,从而搜索出包含这个复合词文档

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  • The number of keyword holder documents per source document is the same as the number of search fields in each document.

    每一个文档关键字持有者文档数目每个文档的搜索字段的数目相同

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  • This file contains the list of positions at which the term occurs within each document. You can use this information to rank the search results.

    这个文件包含索引项每个文档出现位置信息可以利用这些信息参与对索引结果的排序

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  • In the context of the DB2 text Search index processing, for each row, the content of each column is treated as a document.

    DB 2文本搜索索引处理上下文中对于行记录其中每一个字段都会作为一个文档进行处理。

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  • When categorizing, the documents in the search results are classified into several categories by a specific document property with a summary of each category provided.

    分类根据特定文档属性搜索结果中的文档分成几个类别,并且提供每个类别摘要

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  • Advanced search : to search for a more specific expression in combination with topics keywords, date, type and/or source of document, country and language to retrieve the most relevant results.

    高级搜索: 搜索内容关键词日期类型/文件来源国家语言结合一起具体的信息,得出相近结果

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  • As an option, the search can rank matched documents based on the prevalence of the search words as compared to document length.

    作为可选项搜索符合条件文档按照搜索词语的出现频率并且对比文档长度排列

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  • Word occurrence rates indicate how frequently a set of search words occurs within a document.

    词语出现频率指出一系列搜索词语文档中的出现频度。

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  • The IBM Software Support Documents search target enables filtering of results by document type.

    IBM软件支持文档搜索目标允许按照文档类型结果进行筛选

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  • This method accepts a microformats name, a document reference to start the search from, and an optional array of parameters.

    方法参数包括格式名称搜索文档引用可选的参数数组

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  • Instead of statistically computing how well a search term matches a document, a machine must literally be able to understand.

    不仅需要计算搜索关键词文件匹配程度,而且要从字面学会理解

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  • Indeed, the WWW is certainly the largest communal document store in human history, and its informal organization probably makes it the set of documents most in need of good search engine.

    的确WWW肯定人类有史以来最大公共文档非正规组织结构使非常需要有好的搜索引擎

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  • Selecting "Market" above and clicking the Search button will display all artifacts of type Document that have the Market attribute group.

    选择上面的“Market点击search将会显示Market属性所有类型工件

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  • Search functionality, for simple searching of content in all document types.

    搜索功能例如可以简单搜索任何文档中已有类型内容

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  • You can try out the free community edition of the Mark Logic server, a content database that lets you search large document bases with XQuery.

    可以试用MarkLogic服务器免费这是基于XQuery、可以搜索大量文档内容数据库

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  • Because the search form is just that, a Lotus Notes form, it is possible to save an instance of it as a document within the OmniFind.nsf database.

    因为搜索表单无非就是LotusNotes表单,可以实例作为文档存入omnifind. nsf数据库。

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  • Solr is already deployed with collection sizes in the hundreds of millions of documents, and with the addition of distributed search, Solr should be able to handle billion document collections.

    Solr已经部署过数百万计容量文档,如果借助分布式搜索,Solr应该能够处理数十亿文档集合

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  • The return is a Hits object, which is a collection of Document objects for documents that matched the search parameters.

    返回Hits对象就是一个被搜索文档中匹配搜索参数Document对象集合

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  • The Basic Text Search DataBlade module allows you to search words and phrases in an unstructured document repository stored in a column of a table.

    基本文本搜索(Basic Text SearchDataBlade模块允许存储在表中的结构化文档库中搜索短语

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  • For example, the following query returns a result by limiting search to the document part identified by name "description" in the document model of Figure 5.

    例如以下查询搜索限制5文档模型名称description”所标识的文档部分,从而返回一个结果

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  • For example, a technical document search process takes a customer's search request from a Web page and produces a list of documents from which one can be selected.

    例如技术文档搜索流程web页面提取客户搜索请求生成文档列表

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  • The source code of the search is similar to the Profile document example described earlier in this article. The differences are.

    搜索源代码与上文中提到Profile文档示例类似

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  • For realizing a targeted search within the document structure of XML documents, Net search Extender offers a section based search by.

    为了XML文档文档结构中进行目标明确搜索NetSearchExtender通过以下措施提供基于部分的搜索。

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  • Upon completing this integration, OmniFind can then crawl, parse, index, and search a Portal Document Manager repository on any number of specified Portal Document Manager item classes.

    完成集成后,OmniFind便可以任意数量指定PortalDocumentManager项目类上爬行解析索引搜索Portal Document Manager知识库

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  • Having seen examples of how to limit search to specific parts in the document structure, Net search Extender offers more ways of expressing search criteria.

    您已经看到了搜索限制文档结构特定部分示例但是NetSearchExtender还提供了表达搜索条件其他方式

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  • You can use a Net search Extender document model to configure the scope of search within structured documents, such as XML.

    可以使用NetSearchExtender文档模型配置结构化文档(比如xml)中搜索范围

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  • The new search function package (org.apache.lucene.search.function) allows developers to use the actual content of a field in scoring a document.

    新的搜索函数(or g . apache . lucene . search . function)允许开发人员在计算文档相关度使用某个字段实际内容

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  • The purpose of this document is to provide a best practice for configuring Enhanced Search services, as well as creating and maintaining your search index.

    本文的目的配置EnhancedSearch服务以及创建维护搜索引擎提供最佳实践

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  • Duplicate Content - If multiple documents contain the same information, then only the most relevant document of that set is included in your search results.

    重复内容——如果多个文件含有相同资料那么只有相关文件中的那个包含搜索结果里。

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  • Duplicate Content - If multiple documents contain the same information, then only the most relevant document of that set is included in your search results.

    重复内容——如果多个文件含有相同资料那么只有相关文件中的那个包含搜索结果里。

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