基于《农业大词典》的农业概念簇表示研究  

Representation of Agriculture Concept Cluster Based on“Agricultural Dictionary”

作　　者：张军亮[1,2] 朱学芳[2] 

机构地区：[1]新乡医学院管理学院,河南新乡453003 [2]南京大学信息管理学院,江苏南京210093

出　　处：《情报科学》2013年第7期15-17,22,共4页Information Science

基　　金：2008年国家社科基金重点项目(08ATQ003)

摘　　要：利用《农业大词典》中词条的特征研究农业概念簇的生成。阐述了从释义部分抽取特征,包括了人工特征抽取特征词和词语概念,以及KL变换降维;叙述了KNN分类的基本思想和基于KNN的农业概念簇形成的过程;还通过实验验证了本文的特征抽取和基于KNN方法是有效的。In the paper, how to generate the agriculture concept cluster is studied, using the characteris- tics of the entry in ＂Agricultural Dictionary＂. Firstly, the features are extracted from the interpretation of the entry, including extracting the word＇ s feature by artificial selection, integrating the concept of words, and reducing dimensionality through KL transform; then the basics of the KNN classifier and the process of KNN-based agriculture concept cluster are described; finally, the experiment shows the proposed method is effective.

关 键 词：《农业大词典》 农业概念簇 KNN分类 

分 类 号：G254[文化科学—图书馆学]