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一种基于语义的网络信息过滤三层模型设计
引用本文:李美子,李欣,潘建国,沈涤.一种基于语义的网络信息过滤三层模型设计[J].上海师范大学学报(自然科学版),2017,46(4):514-520.
作者姓名:李美子  李欣  潘建国  沈涤
作者单位:上海师范大学 信息与机电工程学院, 上海 200234,泰山护理职业学院 公共教学部计算机教研室, 泰安 271000,上海师范大学 信息与机电工程学院, 上海 200234,上海师范大学 信息与机电工程学院, 上海 200234
基金项目:国家自然科学基金(61572326,61103069),上海教委教育规划一般项目(C160049)
摘    要:提出了一种面向网络信息的层次过滤模型及其体系架构,该模型分为本体过滤层、需求过滤层和兴趣过滤层.本体过滤层中,利用本体为基础对信息内容进行语义描述,实现信息的计算机理解与过滤;在需求过滤层,模型通过理解用户所提出的需求中所包含的语义,进而更加准确地通过过滤规则进行信息流过滤;在兴趣过滤层,用户兴趣通过特定方式表达,并通过语义相似度计算实现第三过滤层.

关 键 词:语义  信息过滤  层次模型  本体
收稿时间:2015/11/18 0:00:00

The design of semantic based three-layer web information filtering model
Li Meizi,Li Xin,Pan Jianguo and Shen Di.The design of semantic based three-layer web information filtering model[J].Journal of Shanghai Normal University(Natural Sciences),2017,46(4):514-520.
Authors:Li Meizi  Li Xin  Pan Jianguo and Shen Di
Institution:The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,Computer Teaching Section of Public Teaching Department, Taishan Vocational College of Nursing, Taian 271000, China,The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China and The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China
Abstract:Asemantic based three-layer web information filtering model and its architecture are presented,which comprises ontology filtering layer,requirement filtering layer,and interest filtering layer.In ontology filtering layer,contents of information are described formally based on ontology,and those information which cannot be understood by ontology can be recognized and filtered;in requirement filtering layer,web information would be filtered through calculating the semantic similarity degrees between user requirements and information features;in interest filtering layer,the user interests are described based on formal semantic,and further,the information can be filtered by comparing the similarity of user interest and information content.
Keywords:semantic  information filtering  layer model  ontology
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