Application Of Ontology Semantics-comprehension On Natural Language In Anti-spam

With the rapid development of Internet, E-mail has been widely applied. It greatly givesfacilities for people's life. However, spam e-mails make a lot of trouble to numerous users,network administrators and ISPs as its byproducts.The issue of spam email in Internet has growntremendously in the past few years.And this problem attracts many researchers' attention.Filtering technology is the main technology of anti-spam e-mail. First, This text introducesthe harm of spam and researches the technology of anti-spam deploying at server end andclientend of email system, f'mds the question of the absence of keywords semantics instatistics-based spam classification, then proposes a creative research thought on content analysismethod based on Ontology.Second, after survey on the corresponding research status of domestic and foreigncountries,the article approaches the theory basis of Ontology-based Content Analysis whichincludes general thought, the role of Ontology, operation process. And in the paper, we design aanti-spam ontology framework based on the others' previous work. By analyzing thecharacteristics of the spam, I describe the semantic relationship through description logics,design the syntax analysis driven by keywords and the semantics inference based on ontology.Third, I compared creatively five kinds of description languages from five facets, then thetext uses Protege to edit ontology and uses OWL to express ontology. From diferent views oftheoretical and practical layers, the paper studies how to construct anti-spam ontology model. Itcan solve the absence of the semantics of keywords and sentences in some degrees, and doessome useful exploring for the way of spam filtering.Finally,we summarized the gain and defect of this project and put forward the expectancy ofthis research.