摘要21世纪的今天互联网信息技术飞速发展,各类信息充斥着互联网,如何有效地进行信息的搜集整理成为了一个非常重要的课题。企业信息数据爬取和查询系统就是实现自动搜索并整合互联网中的各种信息的程序,它通过定向的对企业网站的信息进行采集存储。51058
本文以实现基于内容的搜索引擎为目的,深入研究了企业身份信息数据获取与分析系统的相关技术,实现了企业身份信息数据获取和分析的系统功能,设计出了基于jsp的企业信息数据获取与分析系统。本文的阐述顺序为:1课题的研究背景,2:研究现状,3:介绍系统相关知识和技术,4:系统需求分析。详尽介绍了系统功能需求、系统运行环境、数据描述。而后是系统设计。主要包括系统总体设计、各部分模块设计以及数据库设计。再次是系统的设计。最后是系统各个功能模块的实现。
毕业论文关键词:信息爬取与分析 网络爬虫 Mysql 软件工程
Design and implementation of enterprise identity information acquisition and analysis system
Abstract
Nowadays, the rapid development of Internet information technology in the 21st century, the Internet is filled with all kinds of information, if effective to collect collate information has become a very important issue. Enterprise information and data crawling and query system is to achieve the program automatically searches the Internet for a variety of information, which is stored by the collection of information directed to the corporate website.
In this paper, in order to achieve content-based search engine for the purpose of in-depth study of the relevant technical enterprise information and data crawling and query the system to achieve the functions through enterprise information data crawling and query system, we devised crawling based jsp enterprise information and data and inquiry system. This paper introduces the research background, current situation and other issues of content and presentation system-related knowledge and technology, followed by the system requirements analysis. It describes the functional requirements of the system, the system operating environment, data description. The fourth chapter is the system design. This chapter includes a summary of the design, module design, database design. The fifth chapter is the detailed design of the system. Each functional module of the system is designed. Finally, system testing.
Key Words: information data crawling and query system; data analysis; Mysql; software engineering
目录
摘要-Ⅰ
Abstract--Ⅱ
目录-Ⅲ
图清单-Ⅳ
表清单-Ⅳ
1 绪论 1
1.1 研究背景及意义 1
1.3 研究内容 2
1.4 研究方法和步骤 2
1.5 论文的组织架构 2
2 系统相关技术 4
2.1 数据挖掘技术 4
2.2 系统开发相关软件 4
2.3 软件开发环境和开发使用的技术 5
2.4 本章小结 5
3 系统需求分析 6
3.1 系统的可行性研究 6
3.2 系统的功能性需求分析 6
3.3 系统的非功能性需求分析 6
3.4 本章小结 6