| 1. | 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。 |
| 2. | This class also requires reading primary research papers and review papers , viewing structural data with molecular graphics programs , and thinking critically about modern topics in biochemistry
本课程同样要求阅读一些初级的研究论文和评论文章，用分子图像影像程序观看分子结构，以及批判性地思考当代生物化学的主题。 |
| 3. | The traditional approaches to handle non - trivial data structures are either abstracting them from system models or expanding them into non - structural data , which often reduces the efficiency of verification substantively
以往处理复杂数据结构的做法是抽象掉数据信息或者将复杂数据结构打散，因而较大的影响了检测效率。 |
| 4. | To collect structural data and conform the information through existing technology and find out the relation between data through data excavation , we can offer search results that are exacter and more intelligent
通过我们已有的技术对结构化数据的提取和信息整合，用数据挖掘的方法找出数据间的联系，我们可以提供更准确更智能化的搜索结果。 |
| 5. | 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。 |
| 6. | The system described in this paper uses the technology of metadata and xml to implement the function of data shared , which assure the original character of resource without any change in that metadata is good at describing the non - structural data and xml is extensible dynamically to describe structural data
本文采用将元数据和xml相结合的技术手段，利用元数据善于描述非结构化数据的特性，加上xml的可描述可动态扩展的特性来描述结构化数据，从而在保证不破坏或更改原有遗留系统资源的前提下，实现了对多种类型的分布式数据的共享。 |
| 7. | About the integrated system , the three - tier architecture of the system based on the distributed technology and the technology of remote saving and reading of big non - structural data and the methods of second - time development of cad software catia v5 and seamless integration between the cad software and integrated intelligent design system based on ole automation are explained
在系统集成方面研究了基于分布式技术的三层体系结构、大型非结构化数据的远程存储和读取技术、基于ole自动化技术的catiav5的二次开发以及该软件与智能化设计系统集成的方法。 |
| 8. | By the analyses on the disorder and non - structural data of huge number , this research would efficiently help to pick up the useful information , and collect and release the second - and the third - selected information for the information management , enquiry and optimization , support of decision - making , and process control , which enables data become the important resource for enterprise management , decision - making and strategy development
基于流程的质量数据研究通过对无序的、海量的非结构化数据的分析开采，有效地提取有用的信息，组织和发布高质量的二次或三次专业信息，用于信息管理、查询优化、决策支持和过程控制，使数据成为企业管理决策和战略发展服务的资源。 |
| 9. | Based on an integrated correlation and study of regional and deep geophysical data such as 12 magnetotelluric sounding profiles , 5 seismic profiles , tomographic imaging velocity structural data and gravity and magnetic field , the authors have formulated the 3d deep tectonic framework of the middle and lower yangtze valley and its neighborring areas in relation to the distribution of auriferous skarn deposits and copper ( associated with gold ) skarn deposits
作者借助12条大地电磁测深剖面、 5条地震剖面、层析成像速度结构资料、重磁场等区域的和深部的地球物理资料进行综合对比研究，给出长江中下游及其邻区的三维深部构造格架及其与含金夕卡岩矿床和铜伴生金夕卡岩矿床的分布关系。 |
| 10. | There are two ways of retrieving information , one is off - line data mining , namely , to the html web , we can change the semi - structural data into structural data by the technology of retrieving information and store it into the traditional database , then knowledge will be discovered by the varied database - based algorithms ; the other is on - line data mining , that is to combine the technology of retrieving information from web and the algorithms of data mining , then to retrieve knowledge directly
本文讨论了对于html页面，利用信息提取技术，将半结构化数据转化为结构化数据，存储于传统的数据库中，利用基于数据库的数据挖掘算法提取有用的知识，这是一种离线式web数据挖掘方式；另一种是在线方式，将web信息提取技术与数据挖掘算法结合为一体，直接对提取的数据进行挖掘。 |
