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We briefly introduce the concept and the features of Web Mining and pay more attention on Web Content Mining technology and Web Text Mining model-Webminer. We put forward the K-WebMiner, an improved Web Text Mining model based on knowledge base, and hope it will ameliorate the effect of Web Content Mining technology., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=F8kuAtYYRVQNuZ7DW9jy1A==, pdfFileSize=450860, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242118079082201781, articleId=1242118078134289065, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于知识库的Web文本挖掘模型K-WebMiner, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=Web文本挖掘在人们的日常生活和决策分析过程中起到了越来越重要的作用。介绍了Web挖掘的概念和基本特征,在此基础上重点研究了Web文本挖掘方法,引出了Web文本挖掘的模型WebMiner。结合知识库概念,尝试对WebMiner模型进行改进,提出了基于知识库的Web文本挖掘模型K-WebMiner,希望可以提高Web内容挖掘的效果。, authors=胡安安,陈晋, authorsList=胡安安;陈晋, authorCompany=复旦大学管理学院 上海, correspAuthors=null, authorNote=null, correspAuthorsNote=胡安安, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=HRhX1rUoI1Zehqyfpw+mAg==, pdfFileSize=450860, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null)}, authors=null, keywords=[Keyword(id=1242118078742463152, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1242118078134289065, language=CN, orderNo=1, keyword=决策分析), Keyword(id=1242118078801183409, tenantId=1146029695717560320, journalId=1146031591421210625, 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