计算机与现代化

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基于语义的数据库关键词检索系统

  

  1. 1.江西省计算技术研究所,江西南昌330003;2.惠州学院电子科学系,广东惠州516015
  • 收稿日期:2014-08-27 出版日期:2014-11-03 发布日期:2014-11-05
  • 作者简介:万长林(1978-),男,江西南昌人,江西省计算技术研究所工程师,博士,研究方向:语义Web,人工智能; 徐德明(1978-),男,江西安福人,惠州学院电子科学系讲师,硕士,研究方向:信息电子。
  • 基金资助:
    江西省科技计划项目(20133BBA13033, 20141BBF60060

System of Semantics-based Keyword Search over Relational Database

  1. 1. Jiangxi Institute of Computing Technology, Nanchang 330003, China;

    2. Department of Electronic Science, Huizhou College, Huizhou 516015, China
  • Received:2014-08-27 Online:2014-11-03 Published:2014-11-05

摘要: 数据库关键词检索技术是当前的一个重要研究方向,它结合了传统数据库结构化数据存储效率高和信息检索系统非结构化数据检索方便高效的优点。本文介绍一种基于语义的数据库关键词检索系统的设计与实现,该系统以企业级应用开发标准J2EE为基础,结合数据库技术、语义Web技术和关键词检索技术,可实现关系数据库的语义理解和关键词检索。对系统实现涉及的主要技术点:倒排索引、概念相似度和语义计分公式进行了深入分析,提出一种改进的倒排索引结构和一个新的基于语义的信息检索计分公式。

关键词: 本体, 语义相似度, 数据库, 关键词检索

Abstract: KSORD (Key Search over Relational Database) is currently an important research direction, it unions the efficient storing of structured data in traditional databases and the user-friendly and efficient unstructured data query in information retrieval systems. This paper introduces the design and implementation of a semantics based KSORD system. The system, which can utilize the semantics of ontology to do key search over relational database, is based on the enterprise development standard: J2EE, with the integration of database, semantic Web and keyword search technologies. The main implementation technology issues: reverted index, concept similarity, semantic scoring formula are further analyzed. A revised inverted index structure and a new semantics based information retrieval scoring formula are proposed.

Key words: ontology, semantic similarity, database, keyword search

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