基于关联数据的数字图书馆语义服务应用研究

发布时间：2018-07-28 21:26

【摘要】：随着科技的发展、信息资源的海量增长以及人们需求的提高,目前在人们进行检索时,大多数数字图书馆的检索结果并不能满足用户的需求,传统的信息服务朝着语义服务方向发展,语义服务逐渐成为了比较流行的服务概念。语义服务是基于资源对象间的语义关系,需要运用一定的技术把资源进行语义化,并且可以用计算机可读的方式表达出来,使人们在检索时机器可以读懂用户的具体需求,达到语义服务的目的,关联数据成为了这较好的实践方式之一。关联数据的RDF数据模型保证数据具有语义,RDF文件中包含着很多具有URI标识的数据资源,人们能够通过利用URI/HTTP机制,获取我们想要的数字资源。本论文首先对关联数据和数字图书馆语义服务的相关文献进行分析,了解了其应用现状。关联数据提升数字图书馆语义服务应用研究没有得到广泛关注,处于起步探索阶段。其次本文根据相关理论以及数字图书馆资源的语义聚合和语义检索是数字图书馆语义服务的基础和核心这一理念,从理论和应用案例上进行了分析,在关联数据提升数字图书馆语义服务能力方面提供了较为系统的认识。最后通过对常见软件的对比分析,选出Parliament这个RDF标准兼容的高性能存储引擎进行实践应用,采用Parliament存储引擎进行实验研究和分析,对期刊文章、图书、学位论文、会议论文、报纸文章五种不同文献类型资源进行了语义融合,利用Parliament进行了语义检索,提高了资源的共享、重用和语义服务能力,并从实验中总结了关联数据在语义服务应用以及Parliament应用中的优劣势,为以后数字图书馆语义服务应用提供了参考。
[Abstract]:With the development of science and technology, the massive increase of information resources and the improvement of people's demand, at present, the retrieval results of most digital libraries can not meet the needs of users. Traditional information service is developing towards semantic service, and semantic service has gradually become a popular concept of service. Semantic service is based on the semantic relationship between resource objects. It needs to use certain techniques to make resources semantic, and can be expressed in a computer readable way, so that people can understand the specific needs of users when searching. To achieve the purpose of semantic services, associated data has become one of the better practical methods. The RDF data model of associated data ensures that the data has semantic meaning and contains a lot of data resources with URI identity. People can obtain the digital resources we want by using URI/HTTP mechanism. In this paper, we first analyze the relevant documents of the associated data and the semantic services of digital libraries, and understand the current situation of their application. The research on semantic service application of associated data upgrading digital library has not been paid much attention to, and it is in the initial stage of exploration. Secondly, according to the related theory and the concept that semantic aggregation and retrieval of digital library resources are the foundation and core of digital library semantic service, this paper analyzes the theory and application cases. This paper provides a systematic understanding on how to improve the semantic service ability of digital library by associating data. Finally, through the comparison and analysis of common software, Parliament, a high performance storage engine compatible with RDF standard, is selected for practical application. The Parliament storage engine is used for experimental research and analysis, and journal articles, books, degree papers and conference papers are analyzed. The five kinds of literature resources of newspaper articles are semantically fused, and semantic retrieval is carried out by using Parliament, which improves the ability of sharing, reusing and semantic service of the resources. The advantages and disadvantages of associative data in semantic service applications and Parliament applications are summarized in the experiment, which provides a reference for the future application of semantic services in digital libraries.
【学位授予单位】：河北大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：G250.76

【参考文献】