This paper puts forward an information retrieval system based on XML documents database on the foundation of segmentation technology, index technology and structured query language technology.
在分词技术、索引技术、结构化查询语言技术的基础上，提出了一个基于XML文档数据库的信息检索系统，这一系统模型主要由分词模块、索引模块及查询模块组成。
Information retrieval is focus on how to search out the documents subset which is relevant to the users' query.
信息检索就是研究如何根据用户的信息需求，从文档集中检索出与用户需求相关的文档子集。
Common basis for information retrieval systems is matching documents in the system and queries efficiently.
常见信息检索系统的基础是系统中匹配的文档和查询效率。
In order to improve the efficiency of information retrieval, this article introduces the Adaptive Resonance Theory (art) into the searching and classification of Chinese documents.
为了提高信息查询的效率，本文将自适应谐振神经网络引入中文文档搜索分类之中。
A central problem in information retrieval is the automated classification of text documents.
在信息检索的一个核心问题是文本文件自动分类。
A search engine of document information is improved and a heuristic search strategy with multithreading and distributing is implemented. It introduces fuzzy retrieval model on the object documents.
该系统改进了信息搜索引擎，实现了多线程分布启发式搜索策略，并提出了目标文本模糊搜索空间模型。
This research accomplished such functions as information retrieval and analysis, data cleaning and importing into database from raw XML documents.
本研究实现了从原始心电的XML文件中的信息提取和解析，数据的清洗和导入数据库的功能。
Information Retrieval (IR) is concerned with locating documents that are relevant for a user's query from a large collection of documents.
全文信息检索(IR)的主要任务是在一个海量文档集中查找与用户查询相关的文档子集。
Information Retrieval (IR) is concerned with locating documents that are relevant for a user's query from a large collection of documents.
全文信息检索(IR)的主要任务是在一个海量文档集中查找与用户查询相关的文档子集。
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