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本体论在基于Web的土壤知识体系智能检索系统中的应用
引用本文:赵庆龄,钱平,苏晓路,赵明. 本体论在基于Web的土壤知识体系智能检索系统中的应用[J]. 计算机工程与应用, 2005, 41(5): 211-214
作者姓名:赵庆龄  钱平  苏晓路  赵明
作者单位:中国农业大学信息与电气工程学院,北京,100083;北京联合大学,北京,100000;中国农业科学院文献中心,北京,100081;中国农业大学信息与电气工程学院,北京,100083
基金项目:“十五”国家科技攻关子专题资助项目(编号:2001BA513B01-0302)
摘    要:
随着Internet的迅速发展与普及,如何从海量的网络信息资源中及时、准确地找到所需的信息成为当今的一个研究热点。本体论(ontology)的引入为面向Web的智能检索提供了新的方式。文章以土壤分类知识体系为例,采用纯XML(eXtensibleMarkupLanguage)数据库Tamino作为信息导航库,根据用户输入的查询条件,以直观的树型结构来显示相关分类信息,采用点击方式理解用户的需求,实现Web智能检索。该文还介绍了智能检索系统的设计与实现的具体过程以及采用的XML和JSP(JavaServerPages)技术,可以将其推广应用于网络环境下的其他共享信息资源检索,为用户提供高效、贴切的服务。

关 键 词:本体论  土壤知识体系  智能检索
文章编号:1002-8331-(2005)05-0211-04

Design and Web Implementation of Soil Knowledge Intelligent Retrieval System Based on Ontology
Zhao Qingling,QIAN Ping,Su Xiaolu,Zhao Ming. Design and Web Implementation of Soil Knowledge Intelligent Retrieval System Based on Ontology[J]. Computer Engineering and Applications, 2005, 41(5): 211-214
Authors:Zhao Qingling  QIAN Ping  Su Xiaolu  Zhao Ming
Affiliation:Zhao Qingling1,2 Qian Ping3 Su Xiaolu3 Zhao Ming11
Abstract:
With the development and popularization of Internet,the research focuses on how to get the requirement quickly and exactly from a large number of information.Using ontology provides a new intelligent searching method based on Web.In the paper,According to ontology theory of agriculture's characters and combining with the major of soil and agricultural chemistry,the retrieval system took the soil knowledge system as example,took native XML(eXtensible Markup Language) Database--Tamino as information navigation database.According the demands input by users,this system will display related information by tree and understand users' demands through clicks,primarily realize Web's intellective searching.This article still introduces the design and implement process of the intellective retrieval system,XML and JSP(Java ServerPages) technology in detail.The system application can be spread for other shared infor-mation resources retrieval,providing efficient and relevant services for users.
Keywords:ontology  the soil knowledge system  inelligent retrieval
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