Ontology Based Data Mining Approach on Web Documents

IF 0.3 Q4 MATHEMATICS, APPLIED

International Journal of Combinatorial Optimization Problems and Informatics Pub Date : 2014-10-17 DOI:10.5539/cis.v7n4p123

H. Hajiabadi

{"title":"Ontology Based Data Mining Approach on Web Documents","authors":"H. Hajiabadi","doi":"10.5539/cis.v7n4p123","DOIUrl":null,"url":null,"abstract":"Internet which is included plenty of huge data source is now rapidly increasing in all domains. It is considered as valuable data sources if the data can be processed that results in information. Data mining techniques are widely utilized in web documents in order to extract information. In this paper an ontology based data mining approach proposed to classify web documents in order to facilitate applications based on classified text documents like search engines. The proposed approach is implemented an applied on several web documents and the results are demonstrated. Normal 0 false false false EN-US X-NONE AR-SA /* Style Definitions */\n table.MsoNormalTable\n {mso-style-name:\"Table Normal\";\n mso-tstyle-rowband-size:0;\n mso-tstyle-colband-size:0;\n mso-style-noshow:yes;\n mso-style-priority:99;\n mso-style-parent:\"\";\n mso-padding-alt:0in 5.4pt 0in 5.4pt;\n mso-para-margin-top:0in;\n mso-para-margin-right:0in;\n mso-para-margin-bottom:10.0pt;\n mso-para-margin-left:0in;\n line-height:115%;\n mso-pagination:widow-orphan;\n font-size:11.0pt;\n font-family:\"Calibri\",\"sans-serif\";\n mso-ascii-font-family:Calibri;\n mso-ascii-theme-font:minor-latin;\n mso-hansi-font-family:Calibri;\n mso-hansi-theme-font:minor-latin;\n mso-bidi-language:AR-SA;}","PeriodicalId":42388,"journal":{"name":"International Journal of Combinatorial Optimization Problems and Informatics","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2014-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Combinatorial Optimization Problems and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5539/cis.v7n4p123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}

引用次数: 2

Abstract

Internet which is included plenty of huge data source is now rapidly increasing in all domains. It is considered as valuable data sources if the data can be processed that results in information. Data mining techniques are widely utilized in web documents in order to extract information. In this paper an ontology based data mining approach proposed to classify web documents in order to facilitate applications based on classified text documents like search engines. The proposed approach is implemented an applied on several web documents and the results are demonstrated. Normal 0 false false false EN-US X-NONE AR-SA /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-language:AR-SA;}

查看原文本刊更多论文

基于本体的Web文档数据挖掘方法

包含大量海量数据源的互联网正在各个领域迅速发展。如果数据可以被处理并产生信息，则被认为是有价值的数据源。数据挖掘技术被广泛应用于web文档中以提取信息。为了方便搜索引擎等基于分类文本文档的应用，本文提出了一种基于本体的数据挖掘方法对web文档进行分类。本文将该方法应用于多个web文档，并对结果进行了验证。EN-US X-NONE AR-SA /*样式定义*/表。mso-style-name:"Table Normal";mso-tstyle-rowband-size: 0;mso-tstyle-colband-size: 0;mso-style-noshow:是的;mso-style-priority: 99;mso-style-parent:“”;mso- font - family:宋体;mso-para-margin-top: 0;mso-para-margin-right: 0;mso-para-margin-bottom: 10.0分;mso-para-margin-left: 0;行高:115%;mso-pagination: widow-orphan;字体大小:11.0分;字体类型:“Calibri”、“无衬线”;mso-ascii-font-family: Calibri;mso-ascii-theme-font: minor-latin;mso-hansi-font-family: Calibri;mso-hansi-theme-font: minor-latin;mso-bidi-language: AR-SA;}

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Combinatorial Optimization Problems and Informatics MATHEMATICS, APPLIED-

自引率

0.00%

发文量