文档结构

CCHMDOC is a cooperative authoring system based on peer-to-peer architecture.

在基于客户/服务器结构的系统WWWDOC中，为了解决WWW文档的协同写作和文档连贯性问题，在WWW文档上扩充了一个层次式结构包装。

When the expert system is operating, the auto-run XML tools of "Quick" load the original XML data sheet document and generate it into structured object representation of XML document.

专家系统运行时，采用可扩展标记语言格式工具 Quick 对XML 数据表文档处理，获得决策知识元数据，并调用决策知识元解析程序得到设备的类名称及设备的参数，生成结构化的决策知识XML 文档，实现了决策知识面向对象的结构化表示。

Chaperon - Chaperon is a LALR(1) parser, which parse structured text documents and generate XML documents as output.

Chaperon是一个LALR(1)语法分析程序，分析结构化的文本文档，并生成可XML文档作为输出。

In the first approach the metadata extraction is viewed as a classification problem. Three statistic classification models, including Support Vector Machines, Perceptron with Uneven Margins, and Maximum Entropy are studied. The approach suffers from the problems of ignoring the variance in lengths of documents and ignoring the dependency of text units within documents. To solve the problems, our second approach takes the metadata extraction as a sequence data labeling problem and makes full use of the sequential information.

论文首先研究了基于分类的元数据抽取方法，考察了支持向量机、非对称间隔感知机和最大熵模型在ADME中的应用；然后针对分类方法中存在的忽略文档之间的差异、不考虑文档上下文等问题，提出了基于序列数据标注模型的抽取方法，并结合最大熵马尔可夫模型、投票感知机模型和条件随机场模型进行了研究；最后本文根据前两种方法的设计思想和优缺点，研究提出一种新的结构预测模型—— CDASP（Coordinate Descent Algorithm for Structure Prediction），并将其应用于元数据的自动抽取中。

This paper has analysed the requirement of the computer-aided compound document production system, builds the structure of computer-aided compound document production system ,studies the information model of compound document object and put forward the develoment scheme of computer-aided compound document production system.

分析计算机辅助复合文档生成系统的需求。创建计算机辅助复合文档生成系统的体系结构。研究复合文档对象的信息模型。提出计算机辅助复合文档生成系统的开发方案。中国图书分类法分类号 F270， TP391

Information technology - Open Document Architecture and interchange format: Document profile; Technical Corrigendum 2

信息技术。开放式文档体系结构和交换格式：文档使用说明文件。技术勘误2

In this chapter, we looked at all the components necessary for the internal representation and efficient handling of a document.

在这一章，我们研究了表述文档内部结构和高效管理文档所需的所有元件。

To provide interfaces for other applications. Based on CA system, a word document signature tool, which is used to sign and verify word documents, was implemented in the paper. The tool can be assembled into word for easy use and can protect the word document from destruction to provide high security.

我们还实现了一个Word文档签名工具，利用CA系统提供的安全接口和word文件结构特点实现对文档内容的签名和验证，防止了对文档内容的篡改，保证了word文档的安全性，利用COM技术使签名工具和word软件集成到一起，方便、易用。

The dissertation focuses on the topics for automatic, accurate, and efficient metadata extraction from general and unstructured documents, on the basis of the state of the work on metadata extraction. After analyzing the limitations of current work, we propose a model for Automatic Document Metadata Extraction, and formulize the problem under the framework of statistical learning.

首先，论文针对目前元数据抽取在处理的文档对象和采用的抽取方法方面所存在的问题和不足，以统计学习理论和信息抽取领域相关研究为指导，结合非结构化文档的特点，提出了文档元数据自动抽取（Automatic Document Metadata Extraction，ADME）模型，给出其形式化描述，进而介绍模型工作机理和处理流程。

Recently, Web Mining technology becomes a important research field such as Web information retrieval, Search Engineer, web mining can extract special semantic information from web documents, analyses link structure, analyses many valuable information such as document access pattern concealing behind Web such as document access pattern etc.

近来， Web 挖掘技术成为 Web 信息检索、搜索引擎等重要的研究领域，通过 Web 挖掘，可以从 Web 文档中抽取出具有特定语义的信息、分析文档的链接结构、分析出文档访问模式等许多隐藏在 Web 之后的有价值的信息。

Plunder melds and run with this jewel!

掠夺melds和运行与此宝石！

My dream is to be a crazy growing tree and extend at the edge between the city and the forest.

此刻，也许正是在通往天国的路上，我体验着这白色的晕旋。