数据、内容和元数据质量。
提高数据和元数据质量。
首先对现行的元数据质量管理方法进行了分析，指出其不足。
Firstly, the paper analyses the metadata method of quality management, points out its flaw.
由于对元数据管理能力需求的增长，元数据质量最近受到更多的关注。
Metadata quality has received increased attention lately due to the increasing demand for metadata management capabilities.
例如，关于所录制的歌曲的元数据可能包括关于演唱者、专辑、作曲、长度或质量的信息，而数据则是音频记录本身。
For example, metadata about a recorded song might include information about its artist, album, composer, length, or quality, whereas the data is the audio recording itself.
服务由信息管理体构，例如在需要时，可以调用信息管理提供的服务(比如sso、ETL、联合、质量、搜索、版本控制和工作流)以获取数据、内容和元数据管理。
Services offered by information management, such as SSO, ETL, federation, quality, search, versioning, and workflow can be invoked for data, content, and metadata management when they are needed.
元数据管理还要将SSO、ETL、联合、质量、搜索、版本控制、工作流和储存持久性结合在一起。
Metadata management also needs to incorporate SSO, ETL, federation, quality, search, versioning, workflow and storage persistence.
随着让人们尽快找到正确内容的需求增多，创作高质量元数据的重要性也将增加。
As the need to get people to the right content as quickly as possible increases, the importance of writing quality metadata will grow.
扩展元数据库方式是解决数据仓库质量问题的有效方法。
The extended meta data repository approach is an effective way to solve the quality problem.
提出一种基于不完全模态测量数据同时修正有限元质量矩阵与刚度矩阵的有效数值方法。
An efficient numerical method for simultaneously updating mass matrix and stiffness matrix of a finite element analytical model based on incomplete modal data measured is presented.
主元分析(PCA)作为数据驱动的一种统计建模方法，在化工产品质量控制与故障诊断方面得到广泛研究和应用。
Principal component analysis (PCA) has found wide application in chemical process monitoring and product quality control as a data-driven modeling method.
该方法解决了由CAD模型导入有限元分析软件时的数据丢失问题，网格划分方法保证了高质量网格模型的建立。
Data loss problem is resolved by this method in the process of CAD model is transferred to the finite element analysis software. The meshing method guarantees high quality grid model.
随着数据仓库的数据质量问题越来越引起重视，更进一步让人们认识到了元数据管理和应用的重要性。
With the data warehouse data quality issues more attention, more so that people realize that the meta-data management and application of importance.
为实现空间数据共享，需要描述空间数据或数据集的内容、质量、状态和其他特性的数据，这就是元数据。
To share space data, it is necessary to describe space data or the content, quality and mode of a data set and other characteristic data. This is the element data.
元数据的质量管理是元数据管理的一个重要方面。
The quality management of metadata is an important part of metadata management.
高质量的数据只有在高质量的元数据的描述下才能充分发挥作用。
Only in the description of high quality metadata can high quality data work sufficiently.
针对干涉数据质量不同的区域采取不同的展开策略，在最小二乘意义下利用有限元方法最小化不同的代价函数来实现。
Different strategies for regions were taken with different data quality, minimizing different cost functions in a least square sense via the finite element method (FEM).
由大气光学厚度光谱特性和自然水体光学特性可知，经过“暗像元”算法校正过的影像数据的质量得到显著改善。
Compared with the theoretical spectral features of waters' optical properties, the image quality of Hyperion sensor has been perfectly improved by the DPACA.
由大气光学厚度光谱特性和自然水体光学特性可知，经过“暗像元”算法校正过的影像数据的质量得到显著改善。
Compared with the theoretical spectral features of waters' optical properties, the image quality of Hyperion sensor has been perfectly improved by the DPACA.
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