非结构化信息

基于SOA的非结构化信息检索的模型研究

The Model Research of Unstructured Information Retrieval Based on SOA

基于Ontology的非结构化信息访问机制研究

Research of Access Mechanism of Unstructured Information Based on Ontology

Web挖掘就是近来逐步兴起的针对Web上异质、非结构化信息进行知识发现的研究领域。

Web mining is just the recently emerging research field to solve this problem .

基于Ontology和XML的非结构化信息语义表示机制研究

Research of Semantic Representation Mechanism of Unstructured Information Based on Ontology and XML

XML作为数据表示和交换的新标准，具有统一的非结构化信息描述机制。

As the brand-new criterion on data express and data exchange , XML has a unique description mechanism for unstructured information .

相反，非结构化信息包括了免费的文本报告、文档、Web页面、生命科学数据、音频、视频等等。

Unstructured information , in contrast , involves free text reports , documents , Web pages , life science data , audio , video , and so on .

利用nativeXML数据库可以为采用XML所表示的非结构化信息提供真正有效的存储和信息获取能力。

Native XML database is just the one to provide the really efficient storage and retrieval ability for those unstructured information described by XML .

XML作为数据表示和数据交换的新标准，具有统一的非结构化信息描述机制，但其在语义表达能力上存在不足，限制了语义异构环境下信息的表示、交换和共享。

As a new standard for data express and exchange , XML has a uniform describing mechanism for unstructured information . But the shortage of semantic expression for XML restricts information show , exchange and share in the different environments .

但传统数据库系统对XML的支持在对其逻辑结构和数据完整性存储方面存在不足，限制了以XML所表示的非结构化信息的表达、交换和共享。

But the traditional database system has a deficient support for XML in the storage for the logical structure and intact information of the data , which greatly constraints the express , exchange and sharing of the unstructured information described by XML .

本文首先介绍了事务在传统数据库中的处理技术及其故障恢复和并发控制理论，其次，分析和探讨了XML技术在描述、存储非结构化信息方面的优势及其与非结构化信息相结合的必然性。

Firstly , this thesis introduces the transaction processing techniques , recovery and concurrency control theory . Then , it analyzes the advantages of the XML techniques in describing and storing unstructured information , and discusses the inevitability that the XML techniques combined with the unstructured information .

本文首先分析了采用XML统一表示非结构化信息的原理及优势，然后针对其语义表达能力上的不足，引入Ontology（本体）的概念，介绍了一种基于Ontology和XML的非结构化信息语义表示机制。

This thesis analyses the principle and advantage of using XML technology to describe unstructured information uniformly , aiming at its semantic limitation the thesis then imports the notion of Ontology and introduces a semantic representation mechanism of unstructured information based on Ontology and XML .

尽管本文主要关注文本分析，但是UIMA还可以用于分析其他类型的非结构化信息，比如音频和图像。

While this article has focused on text analysis , UIMA can also be used to analyze other kinds of unstructured information such as audio and images .

随着信息的发展，出现了越来越多的非结构化信息。

With the development of information , presented a lot of Unstructured Information .

非结构化信息处理平台中的基于角色的访问控制框架设计与实现

Design and Implementation of Role-Based Access Control Framework in Unstructured Information Processing Platform

电子政务中，信息多为文本和图表等非结构化信息。

In e-government , most information is unstructured information , like text and graphics .

数字电视中非结构化信息管理研究

Research on Unstructured Information Management of Digital TV

非结构化信息数据库的恢复技术

Recovery Techniques in the Unstructured Information Database

以内容元数据为基础，从外在形式和内部语义两方面实现了非结构化信息数据的整合。

The information is integrated in the form of both outer format and inner semantic .

指挥艺术和非结构化信息支持

Command Art and Unstructured Information Support

作为非结构化信息挖掘的一个新兴领域，网络评论情感分析引起了人们的极大兴趣。

Sentiment analysis , as a branch of unstructured data mining , has interested people greatly .

人工神经网络特别适合处理不确定性和非结构化信息。

Artificial neural network is particularly effective in the information processing which is uncertain and non-structure .

企业中存在的非结构化信息是重要的知识源，具有数据量大、增长速度快等特点。

Unstructured information , which is huge and grows rapidly , is the vital source of knowledge in enterprises .

人们越来越希望使用信息技术从组织中的非结构化信息中获得更大的价值。

There is an increasing focus on using information technology to get more value from unstructured information within organizations .

基于市场需要，内容管理系统应运而生，其目标是对半结构化和非结构化信息进行有效的管理和利用。

Content Management System is thus presented , its goal is to effectively manage and utilize semi-structured and unstructured information .

为了实现对指数信息的统计分析，对指数进行提取，将非结构化信息结构化是可行的方案。

In order to realize the statistical analysis of index information extraction of index , will unstructured information structured is feasible scheme .

本文分别从结构化信息源和非结构化信息源两个角度探讨支撑交通管理综合信息平台的信息挖掘模型，提出利用粗糙集理论的基本原理，对于其属性约简进行改进。

An information-mining model supporting the traffic management integrated information platform was discussed from two aspects of structured or unstructured information sources .

如何获取、管理并应用海量的非结构化信息中所蕴含的知识，是企业信息管理中一个亟待解决的问题。

How to acquire , manage and use knowledge contained in the mass unstructured information is thereby an urgent problem to be solved .

虽然许多组织认识到集成结构化和非结构化信息的重要性，但目前的搜索结果仍旧互不相干。

Although many organizations realize the importance of integrating structured and unstructured information , today 's search results are still unrelated to each other .

如第1部分所述，在大部分公司中，非结构化信息是可用业务信息的主体，并且增长速度也是最快的。

As described in the first article , unstructured information represents a large and fast growing part of the available business information in most companies .

为了更好地获得这些非结构化信息，信息抽取应运而生。信息抽取，就是从自然文本中提取出预先指定好的信息，并给出该信息的结构化描述。

In order to use the unstructured information better , information extraction which extracts pre-specified information from natural text and gives a structured description is proposed .