个性化专利申报与服务系统设计与实现

发布时间：2018-01-21 06:58

本文关键词： 个性化专利管理系统设计系统实现　出处：《西安电子科技大学》2014年硕士论文　论文类型：学位论文

【摘要】：本文以某知识产权代理事务所委托开发的个性化专利申报与服务系统为研究对象,主要完成了该系统的设计与实现。应用此系统前,该专利管理事务所受专利管理工作传统模式影响,专利申报与管理业务仍停留在纸质文件登记、依靠个人传统工作经验、全程非智能化处理的低效率模式,面临着专利管理程序繁琐、专利申请效率低下、专利管理错误率高、推荐信息针对性不强等实际困难。因此,开发个性化专利申报与服务系统,适应当前社会发展需求已然势在必行。本文在认真分析研究该专利事务所基本情况,摸清专利申报与管理流程的基础上,自我为主的学习、研究了大量有关专利管理与个性化服务的技术资料,在吸收、借鉴国内外有关专利管理系统研究成果的基础上,设计与实现了一个基于B/S结构的个性化专利申报与服务系统。本文介绍了当今专利管理、用户兴趣挖掘和个性化推荐的相关理论基础,分析了专利事务所管理工作现状,给出了采用该系统的可行性。在此基础之上,依据软件工程的思想,进行了系统需求分、系统功能分析和用户分析,并对安全需求进行了简要设计。在对专利事务所工作流程进行学习、研究的基础上,采用现今流行的B/S模式,用以搭建系统结构。运用网络日志挖掘技术提取用户特征,运用夹角余弦方法计算用户相似度,运用UPBC算法进行用户聚类,从而实现个性化推荐。该系统采用Java语言实现系统编程。本论文共7章,从研发的目的和需求到系统的设计与实现都进行了详尽描述,还列举了具体实现时部分程序代码及界面。最后,采用多层次的测试方法对该系统软件进行了测试,证明了系统的科学性与有效性,完全能够满足专利管理事务所对专利申报与管理工作的需求,具有良好的实用性。
[Abstract]:This paper takes the personalized patent application and service system commissioned by an intellectual property agency as the research object, mainly completes the design and implementation of the system. The patent management firm is affected by the traditional mode of patent management, patent application and management business still stay in the paper document registration, relying on personal traditional work experience, the entire process of non-intelligent processing of the inefficient mode. Facing the practical difficulties such as cumbersome patent management procedures, low efficiency of patent application, high rate of patent management errors and weak pertinence of recommendation information, the development of personalized patent application and service system. It is imperative to meet the needs of current social development. This paper analyzes and studies the basic situation of the patent firm and finds out the process of patent application and management based on self-centered learning. Research a large number of technical data about patent management and personalized services, on the basis of absorbing and drawing lessons from domestic and foreign patent management system research results. A personalized patent application and service system based on B / S structure is designed and implemented. This paper introduces the theoretical basis of current patent management, user interest mining and personalized recommendation. This paper analyzes the current situation of patent office management and gives the feasibility of adopting the system. On this basis, according to the idea of software engineering, the system requirements, system function analysis and user analysis are carried out. On the basis of studying and studying the workflow of patent firms, we adopt the popular B / S model. In order to set up the system structure, the user feature is extracted by the network log mining technology, the user similarity is calculated by the angle cosine method, and the user clustering is carried out by using the UPBC algorithm. In order to achieve personalized recommendation. The system uses Java language to achieve system programming. This paper has 7 chapters, from the purpose and requirements of research and development to the design and implementation of the system are described in detail. Finally, the multi-level test method is used to test the system software, which proves the scientific and effective of the system. It can satisfy the demand of patent management firm for patent application and management, and has good practicability.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP311.52

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