基于企业画像的公示数据查询系统设计与实现

发布时间：2018-10-15 18:42

【摘要】：随着市场经济的高速发展,针对无处不在的商业风险,企业在挑选项目、寻求合作伙伴时需要了解合作方的运营状况、企业资产、经营规模等全方位的信息作为合作的参考指标,但需要查询多个企业公示系统,并没有一个集成的企业公示数据查询系统方便用户使用。针对上述问题,提出构建一个基于企业画像的公示数据查询系统,采集各公示系统的数据进行分析处理,汇集到相关企业档案中,作为有效规避消费侵权、商业欺诈的重要保障,是政府政策支持、银行信贷的重要依据,也是大众消费、交易、就业等决策的重要参考,对于我国企业征信行业的发展也有较大的推动作用。本文在对选用的相关技术调研基础上,对重复数据删除技术和哈希算法进行总结;然后对企业公示数据查询系统核心技术进行研究,完成基于网络爬虫的数据采集工作,设计通用的ETL数据处理框架,提出基于哈希算法的海量数据更新方案,解决企业公示数据频繁更新耗时长、性能低下的问题,并将改进的基于向量空间模型的相关性排序算法应用到Solr搜索框架中,以提高查询结果的用户检索满意度;最后设计并实现系统,包括架构设计、数据库设计、核心模块设计等,并以真实的企业公示数据作为测试用例对开发完的系统进行测试,验证数据更新方案和改进算法的有效性。本文设计实现的企业公示数据查询系统,结合其应用背景和具体需求,选择合适的体系架构和技术框架,设计合理的逻辑方案和物理模型,实现以用户一键查询为目的,提供便捷的企业信息服务,解决企业公示数据查询流程繁琐等问题,最终达到有效解决用户对多维度企业公示数据的查询需求,提供高效信息检索服务的目标。
[Abstract]:With the rapid development of the market economy, in view of the ubiquitous commercial risks, enterprises need to know the operation status and assets of the partners in selecting projects and seeking partners. The omni-directional information, such as business scale, is used as a reference index for cooperation, but it needs to query multiple enterprise public information systems, and there is not an integrated enterprise public data query system which is convenient for users to use. In view of the above problems, this paper proposes to construct a public data query system based on enterprise portrait, collect the data of each public display system for analysis and processing, and collect the data into the relevant enterprise files, as an effective way to avoid the infringement of consumption. The important guarantee of commercial fraud is the support of government policy, the important basis of bank credit, and the important reference for the decision of mass consumption, transaction, employment, etc. It also has a great role in promoting the development of enterprise credit information industry in our country. Based on the research of the selected technologies, this paper summarizes the repeated data deletion technology and hash algorithm, and then studies the core technology of enterprise public data query system to complete the data acquisition based on web crawler. A general ETL data processing framework is designed, and a massive data updating scheme based on hash algorithm is proposed to solve the problem of frequent updating time and low performance of enterprise public data. The improved algorithm based on the vector space model is applied to the Solr search framework to improve the user's satisfaction with the query results. Finally, the system is designed and implemented, including architecture design, database design. The core module is designed and the real enterprise public data is used as the test case to test the developed system to verify the validity of the data updating scheme and the improved algorithm. The enterprise public data query system is designed and implemented in this paper. Combined with its application background and specific requirements, the author chooses the appropriate architecture and technical framework, designs reasonable logic scheme and physical model, and realizes the purpose of user one-click query. To provide convenient enterprise information service, to solve the problems such as tedious query process of enterprise public data, finally to effectively solve the user's query demand for multi-dimensional enterprise public data, and to provide efficient information retrieval service.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.52;TP391.3

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