摘要
在分析了基于统计的垃圾邮件分类中关键词的语义缺失问题后,提出将基于本体的自然语言语义理解应用于反垃圾邮件中,以解决关键词的语义问题。经过对垃圾邮件的特征进行分析,设驱动的句法分析及基于本体的语义推理,在一定程度上解决了邮件过滤过程中词和句子的语义缺失。
After analyzing the question of the absence of keyword＇s semantics in statistics-based spare classification, the ontology-based semantics comprehension on natural language was used to anti-spam in order to solve the question of the semantics. By analyzing the characteristics of the spam, the syntax analysis driven by keywords and the semantics inference based on ontology were designed. It solves the absence of the semantics of keywords and sentences in some degrees, and does some useful exploring for the way of spam filtering.
出处
《计算机应用》
CSCD
北大核心
2006年第6期1315-1317,共3页
journal of Computer Applications
关键词
自然语言
语义分析
句法分析
本体
反垃圾邮件
natural language
semantics analysis
syntax analysis
ontology
anti-spam
