Abstract: According to the needs of Web information sharing and the characteristics of the agronomy, by adopting ontology tech, agricultural information ontology is put forward for the Web classification and identification, database management and standards of searching keywords inference based on classification and coding for Web agricultural information. By using the structure of traditional search engines and combining Agent and Jena tech, a systematic structure of search and input system is designed, which can search and automatically classify the information. This search system is of more intelligence, humane and profession, at the same time effectively using the information and improving the recall ratio and precision.

Key words: ontology, classification and coding for Web agricultural information, Jena, Agent, search and input system

摘要： 针对网络信息共享的需求和农业学科自身的特点，利用本体技术，提出基于网络农业信息分类编码的农业信息本体作为网页分类标识、数据库管理和搜索关键字推理的标准。拓展了传统搜索引擎的结构，结合Agent和Jena技术，构建了一个具有信息检索和自动归类的搜索与录入系统，使得系统更具智能化、人性化和专业化，有效地利用信息，提高了查全率和查准率。

关键词: 本体, 网络农业信息分类编码, Jena技术, Agent技术, 搜索与录入系统