页面结构 meaning in English
page structure
Examples
- Since the late 1990s the information extraction on web tables was probed into study , and at present , all the research on it is still quite preliminary . according to the technology studied at present , there are two methodologies . one is based on wrapper , which is a traditional methodology used in ie area and inherently highly web source or domain specific and always non - reusable . the other one is based on table structure recognization , which is mainly study in this thesis . the focus of this thesis is to investigate a methodology which is domain - independent and can adapt more web source to recognize table structure
从当前的研究技术上看,主要有基于包装器( wrapper )和基于结构识别两种方式。前者是传统的信息抽取方法,对页面结构的依赖性强,可重用性差;而后者则是本文研究的重点。本文旨在希望通过研究一种具有空间适应性和领域独立性的表格结构识别技术,使应用程序能够达到理解表格的目的,从而将其应用在web表格信息抽取领域。 - In order to solve the problem , in this paper , a novel approach is proposed to automatic wrapper maintenance . it is based on the observation that despite various page changes , many important pages features of the pages are preserved . using these preserved features to identify the locations of the desired values in the changed pages , and repair wrappers correspondingly
针对web页面结构多变、包装器易于失效这个缺陷,本文提出了一种新的包装器平衡算法,该算法能利用页面上一些不变的重要特性信息来确定数据项的位置,然后对包装器进行修复,从而维持包装器的平衡。 - Then , the author has advanced a model of uniform layout manager of web sithage managerthe model advance ( l ) page architect ' ure system analysis method ; ( 2 ) model description of separaing business codes from ui codes and dynaxnic page layout ; ( 3 ) providing encapsulation method of currency application of web sitc
模型中给出了： ( 1 )对网页页面结构的系统分析、划分方法； ( 2 )描述了解决用户界面代码和业务逻辑功能代码分离以及页面动态布局的模型； ( 3 )提供了对通用性很强的应用程序的封装方法。 - The structure recognization of web table can be processed by two phases . first we need to filter out those non - genuine tables which is uesd not for relational information display but for creating any type of multiple - column layout to facilitate easy viewing . according to lots of observations to tables in web pages , the features are identified which best capture the characteristics of the genuine table compared to a non - genuine one , and then get the heuristic rules . based on these rules , algorithms are designed and implemented to evaluate the performance , as measured by ie evaluation metrics - recall , precision and f - measure . the result show that the performance of our algorithms is not less effectively than others
首先从纷繁复杂的web页面中滤去那些用于控制页面结构而不是表达有效数据信息的“假表格” 。本文通过大量的观察,提取出识别真假表格的特征信息,形成启发式规则;在此基础上设计并实现一系列算法;最后通过传统的信息抽取指标? ?召回率、准确率和f指数来衡量识别结果。实验显示,本文的算法有较强的表格识别能力。