作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2011, Vol. 37 ›› Issue (4): 34-36. doi: 10.3969/j.issn.1000-3428.2011.04.013

• 博士论文 • 上一篇    下一篇

基于玉米本体的语义检索系统

齐 红1a, 1b,张亮亮1a,2,李 昕1c   

  1. (1. 吉林大学 a. 计算机科学与技术学院;b. 符号计算与知识工程教育部重点实验室;c. 软件学院,长春 130012; 2. 上海贝尔股份有限公司,上海 200070)
  • 出版日期:2011-02-20 发布日期:2011-02-17
  • 作者简介:齐 红(1970-),女,副教授、博士,主研方向:数据挖掘,语义检索;张亮亮、李 昕,硕士
  • 基金资助:

    国家自然科学基金资助项目(60773099, 60873149, 609730 88);国家“863”计划基金资助项目(2006AA10Z245, 2006AA10A 309);中央高校基本科研业务费专项资金基金资助项目(200903181, 200903192)

Semantic Retrieval System Based on Corn Ontology

QI Hong 1a,1b, ZHANG Liang-liang 1a,2, LI Xin 1c   

  1. (1a. College of Computer Science and Technology; 1b. Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of Education; 1c. Software College, Jilin University, Changchun 130012, China; 2. Alcatel-Lucent Shanghai Bell Co., Ltd., Shanghai 200070, China)
  • Online:2011-02-20 Published:2011-02-17

摘要:

采用形式概念分析方法由词汇-文件关系表构造概念格并进行约简,建立玉米种植本体。提出基于领域本体的语义标注方法,改进现有的权值计算方法以获得特征词,经句法分析生成RDF三元组。实现基于领域本体的用户查询处理和查询推荐算法,研制面向玉米种植的语义检索系统,并选取100篇玉米种植文档作为实验文本集合进行对比实验,结果表明,该语义检索系统在查准率和查全率上均优于基于关键字的检索方法。

关键词: 语义检索系统, 领域本体, 形式概念分析, 语义标注

Abstract:

The corn plant ontology is constructed using Formal Concept Analysis(FCA) based approach in which the concept lattice is built from terminology-file relationship table and further reduced. Based on the corn plant ontology, it proposes a semantic annotation method in which the feature words are selected by an improved method for weight calculation and the RDF triples are generated by syntactic parser. Ontology-based user query processing and recommendation are discussed and a semantic retrieval system for corn plant is developed. In comparative experiment, one hundred documents are selected as the dataset, and the result shows that the semantic retrieval system is superior to keyword-based retrieval method in precision ratio and recall ratio.

Key words: semantic retrieval system, domain ontology, Formal Concept Analysis(FCA), semantic annotation

中图分类号: