基于本体的语义检索关键技术研究

发布时间：2018-03-05 15:02

本文选题：本体　切入点：RDF　出处：《合肥工业大学》2013年硕士论文　论文类型：学位论文

【摘要】：随着互联网的不断发展，网络用户对信息的要求也随之多样化。然而，由于传统的搜索引擎大多采用基于关键词匹配的全文检索技术，导致查全率和查准率都无法得到保证。近年来，，以Ontology为基础的语义检索技术得到国内外越来越多的学者和研究者的关注，并且在现实中已经得到了应用。基于本体的语义检索技术能够真正使检索技术具体到语义层面，并且提高了检索的查全率和查准率。首先,本文介绍了本体理论的相关知识，包括本体的定义、本体的分类、本体的描述语言、本体的构建规则、本体构建的方法以及本体构建的工具。在掌握本体理论知识的基础上本文给出了领域本体的模型，并构建了一个较为简单的物流领域本体。其次，本文研究了基于本体的语义检索的相关技术。语义检索预处理技术包括语义标注、查询条件处理和本体存储，为语义检索的实现提供的支撑。Jena语义工具支持SPARQL语言的查询扩展。本文还研究了语义检索的策略。然后，本文对基于本体的语义检索系统进行了分析和设计，给出了基于本体的语义查询算法和检索流程，并实现了该系统。最后，文章对本文的研究进行了总结，并对基于本体的语义检索的发展进行了展望。
[Abstract]:With the continuous development of the Internet, the requirements of network users for information are also diversified. However, because the traditional search engines mostly use keyword matching based full-text retrieval technology, In recent years, semantic retrieval technology based on Ontology has been paid more and more attention by scholars and researchers at home and abroad. Ontology-based semantic retrieval technology can really make the retrieval technology specific to the semantic level and improve the recall and precision of retrieval. Firstly, this paper introduces the knowledge of ontology theory, including the definition of ontology, the classification of ontology, the description language of ontology, the rules of ontology construction. Based on the knowledge of ontology theory, this paper gives the model of domain ontology, and constructs a relatively simple logistics domain ontology. In this paper, the related technologies of ontology based semantic retrieval are studied. The semantic retrieval preprocessing technology includes semantic annotation, query condition processing and ontology storage. This paper also studies the strategy of semantic retrieval. Then, the semantic retrieval system based on ontology is analyzed and designed. The semantic query algorithm and retrieval flow based on ontology are presented, and the system is implemented. Finally, this paper summarizes the research and prospects the development of ontology-based semantic retrieval.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP391.1

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