索引库

它们能够根据用户提供的关键字采取一定的匹配策略，在索引库中进行查找，然后将结果地址集返回给用户。

They can find relevant URLs in the index database and send back to users .

给出了索引库的建立方法、关键词加权的三种不同方法的结合公式、查询与文档之间的相似度计算、检索以及移动设备接口实现的主要算法。

The set up of index database , and 3 methods for keywords weighting , and the computing of similarity between query and document , and the main arithmetic on research and mobile client server are all implemented in this paper .

本文阐述了系统的体系结构，说明了索引库、WEB多层次数据库、数据仓库、数据收集器、数据预处理器和综合数据挖掘器等组成部分的基本功能。

The thesis explains the systematic structures , the basic functions of index storehouse , WEB multi-level databases and other constitutes .

基于最高响应比算法的WWW索引库更新方法

A WWW Indexed Database Refreshment Algorithm Based on the Highest Responding Ratio

搜索引擎一般由Crawler、索引库、检索器和用户接口组成。

A search engine is usually composed of Crawler , Indexer , Searcher and User Interfaces .

提出了一种多Agent系统结构，由用户界面、过滤查找Agent、反馈更新Agent、操作Agent、搜索Agent和中心索引库个部分组6成。

In this paper , a structure of multi-agent system is proposed which it is composed of user interface agent , filter-finding agent , feedback agent , operation agent , searching agent and center index database .

本文设计了一个基于XML的移动信息检索系统，主要包括索引库的建立、关键词加权、检索、相似度计算几个部分。

There are 4 sections in a model that focused on the research on XML-based mobile information retrieval , they are : the set up of index , weighting , retrieval and the computing of similarity .

对开源全文索引库Lucene进行了研究，对Lucene的倒排序索引方法、索引建立模式、索引存储组织形式、索引的检索机制进行了剖析。

Researches the open-source full-text indexing library Lucene , analyzes the inverted sort index method , indexing mode , index stored organization , indexing retrieval mechanisms .

论文最后设计了ETLA映射索引库。

The last part of the paper designs a mapping-index repository .

主题搜索引擎主要由搜索网页的主题crawler，为所下载网页建立索引库的索引部分和查找部分组成。

The topical search engine is composed of three parts : crawler for searching for web pages , indexer for indexing the downloaded pages and the search part for searching the relevant pages with the user query .

Crawler进程有自己的本地页面库和本地索引库，它下载的页面以及对页面建立的索引分别保存在本地页面库和本地索引库中。

Every crawler process has a local page repository and a local index repository . The web pages downloaded are saved in its local page repository , and the index built is saved in its index repository .

前端提取索引库中的内容，向客户提供检索服务。

The front one extract the content of the index library , provide the users query service .

在对中文分词词典进行分层存储的基础上，通过一种改进的简洁的中文分词词典匹配算法，有效地改善了分词的速度与精度，并缩减了索引库，增强了用户的响应。

Besides , an improved word matching algorithm was proposed to enhance the speed and precision of word segmentation .

即在原始特征索引库的基础之上引入了一个用户可修改的特征索引库，系统可以将用户多次反馈的信息逐步嵌入到这个特征索引库中。

With this algorithm , a system can gradually embed the users ' feedback information into the updatable database .

运用成组编码技术对资源库中的资源进行编码设计，并以资源索引库和考试试题库为例进行详细说明。

Design the material code in the network source database using group coding technology and show detail examples of resource index database and test questions database .

当用户提出查询请求时，在索引库查找与用户请求相匹配的文档条目，然后将它们返回给用户。

When users conduct web search , the Universal Resource Locateors which match the search conditions in the ( index ) file are fetched and returned to the users .

当用户输入查询关键词后，检索系统把用户输入的关键词从倒排索引库中查询，返回包含关键词的文档。

When users enter a query keywords , the information retrieval system search the keywords the user enters from the inverted index library , then documents that contain keywords .

然后针对该算法存在的索引库较大、匹配速度不高和查全率较高而查准率较低等缺点，引入了第二种检索方法：基于词表的检索方法。

Because of considerable storage space and larger index database , higher rate in the full searching and the lower rate in the exact searching , the article demonstrates a new retrieval method based on the phrase list .

文中主要介绍全文检索系统中索引库结构设计、文本标引技术等数据预处理技术，以及全文检索系统索引数据库的数据处理流程。

This paper introduces such data-pretreatment technology as index database structural design , text index technology , etc. Also introduces that in the fulltext retrieval system mainly , and the data processing procedure of index database of full-text retrieval system .

加上搜索引擎又受存储容量、服务器能力等硬件资源的限制，目前的搜索引擎普遍存在索引库更新不及时，查询结果质量不高等问题。

And with the limit of storage capacity , server bottleneck and other hardware resource constrain , there exist several problems such as the index database cannot be updated timely , and the quality of query result is not ideal .

但是可以预想，当文档库所包含的信息量非常大，对文档全部内容进行预处理，再分词建立索引库，时空耗费必然也相当庞大。

But can be expected , when the document database contains a very large amount of information , the time and space must also be at quite large costs for doing text pretreatment , Chinese word segmentation and making indexed database .

同时，为了有效地利用存储空间、优化系统，采用多种数据压缩方法对图符库、词库和资源特征的索引库等信息资源的可视化描述进行了有效压缩，使可视化模型得到进一步优化。

In order to use the storage space and the optimizing system efficiently , the paper chooses several data compaction methods to compress the visualization description of information resources in icon base , words stock and index base for resource feature , so that the visualization model is more optimized .

在分析了多媒体教育资源媒体特征模式的基础上，构建了基于特征的多层索引结构库，实现了语义层次的资源查询。

This paper analyses the features of the educational resources and proposes the hierarchical index of the educational resources database .

该算法用量化光流场得到的方向直方图构造出一个公共模板库及其索引序列库，借助序列比对方式来实现行为识别。

This algorithm uses the direction histogram from optical-flow field to generate the common spatiotemporal template and the index sequences warehouse , and achieves action recognition via sequence alignment .

采用多知识包结构和两类索引组织知识库，使知识库易于扩充、维护、修改与检索；

By the techniques of multi-knowledge package and two level index to organize the base , it is easy to create , maintain , modify and query the base ;

使用高效的索引组织黑名单库，对待解析的域名进行快速判断，保证黑名单查询不致DNS效率显著下降。

The study uses efficient index to organize blacklist database and determines the domain name which is going to be resolved quickly so that it ensures that the efficiency of DNS will not be significantly decreased by blacklist queries .

为了提高用户的检索效率，系统设计采用了多级索引技术建立数据索引库，提高了信息检索速度和效率。

The system uses multi-level indexing techniques to build the data index base to improve efficiency of information query and search .

阐述了全文检索系统的原理，分析了基于字表结构的索引组织方法和索引库的建立。

This article describes the principle of full text retrieval system , analysis of word-based index of the table structure methods and the establishment of the index database .

系统通过抓取器获取数据，通过索引器对抓取到的信息进行索引并创建索引库，通过检索模块为用户提供搜索功能。

The system gets data by crawling , index and create index database by indexer , and provide users with a search function by the retrieval module .

搜索引擎构建于知识库之上，通过语义化的索引器构建集知识与互联网数据为一体的索引库。

The search engine built on knowledge base . It use semantic indexer to construct an index database which contain knowledge and web data of the web .