| 1. | As a content repository for both structured and unstructured data
作为结构化和非结构化数据的内容资料库。 |
| 2. | Mysql handles unstructured data using its series of blob data types
Mysql使用blob数据类型系列处理非结构化数据。 |
| 3. | Contains unstructured data
包含非结构化数据。 |
| 4. | The uima components bridge from the unstructured data fields in the source data to structured extracted data
Uima组件从源数据中的非结构化数据字段中提取出结构化的数据。 |
| 5. | 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。 |
| 6. | While this application is very simple , it illustrates the main features of using uima to bridge between the worlds of unstructured and structured data
尽管这个应用程序非常简单，但是它说明了使用uima在非结构化数据和结构化数据之间建立联系的主要特性。 |
| 7. | With ibm websphere information integrator , you can access and join structured and unstructured data from several data sources by using a single sql statement
使用ibm db2 information integrator ，您可以使用单一sql语句访问并连接几个数据源中的结构化和非结构化数据。 |
| 8. | Lastly , fastsoa uses a native xml database for mid - tier caching because soa data is normally encoded in xml format , and relational databases do a poor job of persisting and indexing hierarchical unstructured data such as xml
最后， fastsoa使用本机xml数据库作为中间层缓冲，因为soa数据通常采用xml编码格式，而关系数据库在持久存储和索引xml这样的层次性非结构化数据方面有很大不足。 |
| 9. | We can divide web data into two kinds : structural data and unstructured data . we have maturer methords to deal with structural data . however , because traditional database bottom can not deal with unstructured data , a wey that deal with unstructured data need be presented
对于结构化的web数据，已经有较为成熟的解决方法；而对于非结构化的web数据，由于传统数据库的底层问题，不能用来处理非结构化数据，迫切希望能提出一种方法进行非结构化数据的处理。 |
| 10. | With the development of computer network technology , enterprises start to develop many application system based on various software and hardware platform , consequently many abundant data source are accumulated , including structured data in database , non - structured data in file system , semi - structured data in web service . in the sake of avoiding reconstructing and wasting of data source , enterprises are eager to integrate these heterogeneous data source , which are separated in the locations and self - managed in management and heterogeneous in data module
随着计算机及网络技术的快速发展，各企业单位开发了大量的软硬件平台各异的应用系统，在各种应用系统下又积累了丰富的数据资源，如数据库中的结构化数据、文件系统中的非结构化数据、 web系统中的半结构化数据等，这些数据资源由于软硬件平台各异、数据模型各异而形成了异构数据。 |
