{"title":"基于本体的Web文档数据挖掘方法","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":"{\"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}","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}
Ontology Based Data Mining Approach on Web Documents
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 */
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