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unstructured data
    GSL:Unstructured Data Aggregation Storage System Supporting Transaction
    支持事务的非结构化数据聚合存储系统GSL
    A Method for Unstructured Data Storage Management
    非结构化数据存储管理的实用化方法
    GSL: Unstructured Data Aggregation Storage System Supporting Transaction
    支持事务的非结构化数据聚合存储系统GSL
    As database is extensively applied,the management of storaging the large size and unstructured data into the database is becoming more and more important.
    随着数据库的广泛应用 ,利用数据库对大尺寸非结构化数据进行存储管理越来越重要。
    IDSSIM can improve the IDSS's ability of mining and processing semi-structured and unstructured data, so as to the decision support system can adapt to the multiplicity and dynamicity of current information source, can provide more abundant decision support information.
    旨在解决决策支持系统对半结构化数据、非结构化数据的挖掘处理能力,使之适应目前信息源的多样型和动态变化性的特点,提供更加丰富的决策信息。
    The conclusion is that the data mining of power project management should be supported by a certain data system and what how to coordinate the unstructured data information would be the key.
    结论是,电力工程管理数据挖掘必须有一定的数据体系支持,对非结构化数据信息的整理是关键。
    Text data is a kind of information form used most spread among common unstructured data such as text, image, and video and so on.
    在常见的非结构化数据如文本、图像、视频中,文本数据是应用最为广泛的一种形式,常用于数字图书馆、产品目录、新闻组、医学报告、组织及个人主页。
    Unstructured data occupies a large part of Web information resources. It is the main data source of Web Search Engine.
    非结构化数据占据了网络信息资源的大部分内容,它是网络搜索引擎的主要数据来源和研究对象。
    To deal the mass enterprise unstructured data and the limitation of database, therequirement to a universal file service platform that has well performance and wellreliability becomes more and more urgent.
    针对大量非结构化数据的出现以及数据库管理系统在这方面的不足,人们对于一个通用的、高性能和高可靠性的分布式文件集群服务系统的需求也越来越强烈了。
    Many scientists present web matedata in order to slove the problem . Web metadata can transform unstructured data into structural data.
    为了解决这个问题,很多研究者提出了为web数据建立元数据,可将非结构化数据变成结构化或半结构化数据。
    This paper construct a Dublin Core metadata for web text data. This kind of metadata can convert web text data which is unstructured data into structurual data.
    本为为web数据中的文本数据建立了一种Dublin Core文本元数据表,将web文本这种非结构化数据结构化。
    After that, a solution to unstructured data management and the integration of multiple data resource was given in this paper.
    针对业务过程数据管理,给出了非结构化数据管理和数据源集成的解决方法。
    Directed against the security problem in using the separating storage method for unstructured data file and its attribution, this paper shows a "monitor" method to protect the non general destroy to the unstructured data file and hold the identity of source file and its attribution in the database.
    在这个模型中,结构化数据和非结构化数据可以统一存储管理和操作,并且采用监控机制保证非结构化数据的安全和其与数据库的一致性。
    Based on analyzing the characteristic of web page and three techniques of web information extraction, we present a new design blue print of web wrapper for unstructured data source. It realized semi-roboticized web information extraction by web page define, Objective model definition and model learning.
    并通过分析Web页面特点和三种Web信息抽取技术,提出了一种非结构化数据源Web包装器的设计方案,通过网页解析、目的模式定义和样本学习,实现半自动化的Web信息抽取。
    This paper presents an intelligent data model for modelling structured data, unstructured data,
    本文提出一种智能化的数据模型,用以为结构化数据、非结构化数据、复杂的数据类型及抽象的概念和规则统一建模,以支持CIMS信息的集成。 在扼要综述此模型的基本概念和特色的基础上,结合CIMS部份子系统,给出用此模型建模的实例。
    Last,the idea of intelligent decision support systems based on unstructured data is posed,and the techniques concerning the system implementation are discussed.
    最后提出了基于非结构化数据的智能决策支持系统的设想,并讨论了系统实现的有关技术。
    The algorithm transforms the unstructured data into semi structural data, and turns it into structured data. After that, the data mining is employed in the processing of the result.
    新现词语发现先将非结构化数据准结构化 ,再利用数据变换函数将其转换为结构化数据 ,最后再用结构化数据挖掘技术进行数据挖掘 .
    How to organize and maintain the abundant unstructured data is an important problem people face now.
    如何实现对海量非结构化数据资源的高效组织、维护,提高浏览、搜索、网页设计的速度,就成为当前人们面临的一个重要问题。
    In the environment of Web application,it′s very important to manage mass unstructured data(content data).
    在Web应用环境下,如何有效管理大量的非结构化数据(也称内容数据)成为应用的重点。
    Through research of the known unstructured data management model,a new content repository model is promoted and demonstrated.
    通过对已有非结构化数据管理模型的研究,提出和论证了新的内容知识库模型及其表达能力。
 

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