基于领域本体的文本分类通用框架

2008 Third International Workshop on Semantic Media Adaptation and Personalization Pub Date : 2008-12-15 DOI:10.1109/SMAP.2008.17

Xiquan Yang, Na Sun, Ye Zhang, De-ran Kong

{"title":"基于领域本体的文本分类通用框架","authors":"Xiquan Yang, Na Sun, Ye Zhang, De-ran Kong","doi":"10.1109/SMAP.2008.17","DOIUrl":null,"url":null,"abstract":"Ontology can provide a powerful representation of information space and solve many semantic problems. It is wonderful to apply ontology to text classification. This paper proposes a general framework for text classification, which can overcome the limitations of traditional text classification methods. The results of experiment prove that the general framework is applicable across different domains and this method produces better performance.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"General Framework for Text Classification Based on Domain Ontology\",\"authors\":\"Xiquan Yang, Na Sun, Ye Zhang, De-ran Kong\",\"doi\":\"10.1109/SMAP.2008.17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ontology can provide a powerful representation of information space and solve many semantic problems. It is wonderful to apply ontology to text classification. This paper proposes a general framework for text classification, which can overcome the limitations of traditional text classification methods. The results of experiment prove that the general framework is applicable across different domains and this method produces better performance.\",\"PeriodicalId\":292389,\"journal\":{\"name\":\"2008 Third International Workshop on Semantic Media Adaptation and Personalization\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Third International Workshop on Semantic Media Adaptation and Personalization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SMAP.2008.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMAP.2008.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 11

摘要

本体可以提供一种强大的信息空间表示，并解决许多语义问题。将本体应用于文本分类是一种很好的方法。本文提出了一种通用的文本分类框架，克服了传统文本分类方法的局限性。实验结果表明，该通用框架适用于不同的领域，该方法具有更好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

General Framework for Text Classification Based on Domain Ontology

Ontology can provide a powerful representation of information space and solve many semantic problems. It is wonderful to apply ontology to text classification. This paper proposes a general framework for text classification, which can overcome the limitations of traditional text classification methods. The results of experiment prove that the general framework is applicable across different domains and this method produces better performance.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2008 Third International Workshop on Semantic Media Adaptation and Personalization

自引率

0.00%

发文量