具有语义搜索推荐功能的交互式专业主页系统设计与实现

发布时间：2018-01-01 18:41

本文关键词：具有语义搜索推荐功能的交互式专业主页系统设计与实现　出处：《北京邮电大学》2015年硕士论文　论文类型：学位论文

【摘要】：随着信息化时代的到来,教育信息化也在大力建设中。专业作为高校人才培养的载体,是高校提高教学质量的立足点,它的信息化建设显得迫切而重要。本课题以电子信息科学与技术专业为例,介绍专业信息化建设目标：以师资建设为基础,以课程与教学资源建设为核心,以专业主页为载体和工具。在专业主页建设中,存在以下几个问题,专业领域资源形式多样,包括结构化和非结构化的数据,数据内部信息无法交流；专业课程内部很多学习规则、经验方法缺少归纳、总结,学生无法利用这些知识；专业主页不应仅是一个资源呈现、缺少交互的平台,没有用户参与、互动及反馈,不利于专业主页知识体系的完善、发展,同时专业主页中的不同用户的兴趣、关注点不一样,需要系统为不同用户提供个性化的服务。本文根据专业主页建设中遇到的问题,进行研究。研究点主要分为以下三点,第一,设计了基于语义的专业知识体系的构建方案,并在此基础上设计实现搜索与推荐系统；第二,设计一套交互式学习模型,并探索其在专业主页中的应用,完善专业课程知识体系的构建,实现个性化的推荐。第三,基于以上两点的研究,设计并实现具有语义推荐功能的交互式专业主页系统。第一部分,基于语义的专业知识体系构建及搜索推荐机制的研究。我们利用基于语义的信息整合理论及其相关技术,建立了一套基于语义信息整合的专业知识体系模型,通过本体构建,包括资源元数据本体、专业资源内容本体和专业学科辅助学习本体,实现对专业内资源、知识体系的整合,以及对课程学习中学习规则、经验的归纳、总结。同时,在专业知识体系的构建基础上,设计语义检索模型,实现对知识概念及其之间关系进行语义层面的搜索。本课题使用Jena推理机,设计一套合理的推理规则,实现专业主页中资源整合,并能为用户提供专业知识推荐。第二部分,专业交互式学习模型研究。本课题主要研究交互式学习模型中的交互式策略及交互策略在专业主页中的应用。本课题设计了被动式交互学习及主动式交互学习两种策略。被动式交互学习是通过系统获取用户日志的方式,主动记录用户的对专业主页的使用及学习情况；主动式交互策略我们设计了一套用户文字输入的方式,主动提供自己对专业知识学习的认识。系统通过这两种策略获取用户个性化的学习需求,记录用户的知识点的学习目标、学习轨迹、学习完成情况等信息,并通过分析这些信息,完善之前的专业知识体系构建,并可以提供更个性化的推荐等。实现了专业主页的交互性。第三部分,在前期利用基于语义信息整合理论构建专业知识体系和交互式学习模型设计的基础之上,进行具有语义搜索推荐功能的交互式专业主页系统的设计,包括系统需求分析、系统功能设计、数据库设计和页面原型设计,并采用MVC模型中Spring框架,实现一个具有语义搜索功能和便于交互的专业主页系统。
[Abstract]:With the advent of the information era, education information also vigorously construction. As the carrier of professional personnel training in Colleges and universities, is to improve the quality of teaching in Colleges and Universities Based on informatization construction, it is urgent and important. This topic in electronic information science and technology major as an example, introduces the professional information construction goal: to construction of teachers as the basis, the curriculum and teaching resources construction as the core, to the professional home as the carrier and tools. In the professional home building, there are several problems, professional resources in various forms, including structured and unstructured data, internal information data can not communicate; professional courses many learning rules, lack of experience for induction, summary, students cannot use this knowledge; professional home is not only a lack of resources, interactive platform, no user participation, interaction and feedback, is not conducive to the professional The perfection and development of home page knowledge system, at the same time, the interest and concerns of different users in professional homepage are different. Different systems need to provide personalized service for different users.
This paper according to the encountered problems in the construction of professional website,. Research is mainly divided into the following three points. First, designing the professional knowledge system based on semantic, and on the basis of the design and implementation of search and recommendation system; second, design a set of interactive learning model, and explore its application in the professional home page the construction of perfect knowledge system of professional courses, the realization of personalized recommendation. Third, based on the above research, the design and implementation of interactive professional homepage system semantic recommendation function.
The first part of the construction and search recommendation mechanism based on semantic knowledge system. We use the semantic information integration theory and related technology based on the established based on the professional knowledge system model of semantic information integration, through the ontology construction, including metadata ontology, professional resources and professional disciplines assisted learning content ontology ontology, realize on the professional resources, integration of knowledge, and the learning rules of the course of study, summed up the experience of induction. At the same time, in the foundation of professional knowledge system, design the semantic retrieval model, realizes the semantic level of search and the relationship between the concept of knowledge. This paper use the Jena inference engine, design a set of reasonable inference rules, to achieve the integration of resources professional homepage, and can provide professional knowledge recommendation for users.
The second part, the research model of professional interactive learning. This paper mainly studies the application of interactive strategy and interactive strategy of interactive learning in the model of professional home. This paper designs the passive interactive learning and interactive learning strategies. Two kinds of active passive interactive learning is to get the user logs through the system, users of professional active record home use and learning; active interactive strategy we designed a set of user text input mode, take the initiative to provide understanding of their learning of professional knowledge. The system gets the user personalized through the two kinds of learning strategies needs to record the user's knowledge of the learning objectives, learning path, learning to complete information, and by analyzing these information, construction of professional knowledge system before, and can provide a more personalized recommendation. The professional page Interactivity.
The third part, in the early use of construction based on professional knowledge system and the design of interactive learning model of semantic information integration theory, the design of professional interactive homepage system with semantic search recommendation function, including system requirements analysis, system function design, database design and prototype design, and uses the Spring framework of MVC model, to achieve a a professional home system with semantic search function and facilitate the interaction.

【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP391.3;TP393.092

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