计算机与现代化

• 应用与开发 • 上一篇    

面向水利信息资源目录服务的分布式语义检索方法研究

  

  1. 河海大学计算机与信息学院,江苏南京211100
  • 收稿日期:2014-10-31 出版日期:2015-02-28 发布日期:2015-03-06
  • 作者简介:冯钧(1969),女,江苏常州人,河海大学计算机与信息学院教授,博士生导师,博士,CCF会员,研究方向:数据管理与知识工程,空间数据库理论与技术,水利信息化技术; 许潇 (1989),女,山东日照人,硕士研究生,研究方向:时空间数据索引,分布式存储; 唐志贤(1983),男,四川遂宁人,博士研究生,CCF会员,研究方向:时空间数据索引和数据共享; 卞一路 (1988),男,江苏南通人,硕士研究生,研究方向:信息检索。
  • 基金资助:
    国家自然科学基金资助项目(61370091,61170200); 江苏省科技支撑计划(工业)项目(BE2012179)

Distributed Semantic Retrieval Method for Water Information Resources Directory Services

  1. College of Computer and Information, Hohai University, Nanjing 211100, China
  • Received:2014-10-31 Online:2015-02-28 Published:2015-03-06

摘要:

针对水利信息资源目录服务中资源发现服务高查全率和实时性的需求,提出一种基于语义扩展的分布式元数据检索方法。该方法利用《水利公文主题词表》构建领域本体结合知网语义实现专业词
汇与通用词汇的扩展,定义语义推理规则和词汇相关度,并结合推理机以支撑查询词汇的扩展;同时定义相似度阈值和选择方法防止“语义飘移”以保证检索查准率;采用语义相似度和文本相似度相结
合的方式进行结果排序;基于MapReduce对索引创建和查询处理进行并行化改造提高检索的处理效率。

关键词: 查询扩展, 语义检索, 分布式, 推理, 水利信息资源目录

Abstract:

Addressing the demand of high recall rate and realtime for the resource discovery services in water information resources directory services, a distributed metadata
retrieval method (DSRM) based on semantic extension is proposed. It constructs the domain ontology with “Official Document Thesaurus of Water Resources”, achieves the
extension of the specialized vocabulary and the common vocabulary by combining with the semanteme based on Hownet, defines the semantic inference rules and the vocabulary
correlativity, and supports the extension of the query vocabulary by combining with the inference machine. Meanwhile, DSRM defines the threshold of similarity and the selection
method, which can prevent the “semantic drift”, to ensure the searching accuracy. The searching results are ranked according to the combination of the semantic similarity and
the text similarity. The MapReducebased parallelization reform of the index creation and the query processing improves the processing efficiency of retrieval.

Key words: query expansion, semantic retrieval, distributed, inference, water information resources directory

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