{"title":"Content semantic filter based on Domain Ontology","authors":"C. Fan, Jie Song, Z. Wen, Yuexin Wu","doi":"10.1109/PIC.2010.5687460","DOIUrl":null,"url":null,"abstract":"A methodology for content filtering based on ontology similarity is presented, which uses Domain Ontology to describe the characteristic of knowledge of a specific domain. By analyzing the context of the Word of Concern (WoC), the justifiability and accuracy of filter is improved. Firstly, a content ontology based on Domain Ontology is defined, including WoCs and their context constrain rules. Secondly, the concepts of WoC similarity and context similarity are given and the definition of similarity fuzzy set is proposed. Finally, a content filtering mechanism based on ontology similarity is designed to prove the feasibility of the methodology.","PeriodicalId":142910,"journal":{"name":"2010 IEEE International Conference on Progress in Informatics and Computing","volume":"633 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Progress in Informatics and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIC.2010.5687460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
A methodology for content filtering based on ontology similarity is presented, which uses Domain Ontology to describe the characteristic of knowledge of a specific domain. By analyzing the context of the Word of Concern (WoC), the justifiability and accuracy of filter is improved. Firstly, a content ontology based on Domain Ontology is defined, including WoCs and their context constrain rules. Secondly, the concepts of WoC similarity and context similarity are given and the definition of similarity fuzzy set is proposed. Finally, a content filtering mechanism based on ontology similarity is designed to prove the feasibility of the methodology.