基于本体的语义数据搜索的研究与实现

发布时间：2018-06-23 04:52

本文选题：语义搜索 + 查询本体　；参考：《西安电子科技大学》2013年硕士论文

【摘要】：随着互联网信息数据的爆炸性增长和用户对搜索信息的要求不断提高，现有的基于关键词匹配的搜索技术已经不能满足高质量的搜索任务。语义网本体技术作为一种新颖、起点较高的知识体系，它所涉及的相关技术对于信息搜索质量的提升具有重要的作用。论文在分析了语义搜索引擎模型和相关理论之后，针对语义数据存在结构性的语义关系的特点，在改进了对XML的标记节点索引技术之后提出了一种针对语义数据的数据索引模型，该模型能够在对实例数据建立索引的同时将本体语义关系保留下来，用于概念层次的检索和推理。论文在研究了现有针对用户查询扩展的理论基础上，将语义网本体技术应用到查询扩展中，，给出了使用本体结构性知识和基于语料库统计分析的方法对用户查询进行扩展的解决方案，并对其实现流程进行了阐述。文章最后利用本文提出的语义数据索引模型和查询本体构建和扩展解决方案实现了一个语义数据搜索工具，并通过具体的领域本体和用例对各个模块和系统的整体功能进行了测试分析，实验证明该系统能够满足提出的应用需求，具有良好的性能。
[Abstract]:With the explosive growth of the Internet information data and the increasing demand for the user's search information, the existing search technology based on keyword matching has not been able to meet the high quality search task. The Semantic Web ontology technology is a novel and high starting knowledge system, and its related technologies are related to the quality of information search. The promotion has an important role.
After analyzing the semantic search engine model and the related theory, this paper proposes a data index model for semantic data after improving the tagged node index technology for XML. The model can be used to index the instance data and the ontology semantics at the same time. The relationship is retained and used for the retrieval and reasoning of conceptual level. On the basis of the existing theory of user query extension, the thesis applies Semantic Web ontology technology to query extension, and gives a solution to expand the user query using ontology structure knowledge and corpus based statistical analysis. The implementation process is described.
In the end, a semantic data search tool is realized by using the semantic data index model and the query ontology construction and extension solution proposed in this paper. The whole function of each module and system is tested and analyzed through the specific domain ontology and use case. The experiment proves that the system can meet the proposed application requirements. Have good performance.
【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】：2013
【分类号】：TP391.1

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