{"title":"基于语义Web的智能Web挖掘技术","authors":"Nadeem Akram, V. Ilango","doi":"10.1109/ICEEICT53079.2022.9768546","DOIUrl":null,"url":null,"abstract":"The Evolution of Web over the years has made a significant progress on how the information is organized and stored, as the complexity of the data stored and retrieved increases it becomes mandatory to upgrade the methodology involved in achieving them. During web Access it becomes essential to determine the nature of the user so as to understand his preferences in order to generate a customized look and feel of the website and there by offering him a Personalized web surfing experience. The primary Stage of a customized web access is in determining what the user wants from the web via a proper semantic Query Methodology which represents what user need rather than content prevailing in the web for request Query. When the user request is understood, the next task would to categorize the possible results in response to the query depending upon relevance. Furthermore, the process would be to categorize user data according different aspects to create web personalization. This takes the web to next level with web usage prediction using Web log files there by creating a New Customized web for every one with the major focus to represent what matters to the users.","PeriodicalId":201910,"journal":{"name":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent Web Mining Techniques using Semantic Web\",\"authors\":\"Nadeem Akram, V. Ilango\",\"doi\":\"10.1109/ICEEICT53079.2022.9768546\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Evolution of Web over the years has made a significant progress on how the information is organized and stored, as the complexity of the data stored and retrieved increases it becomes mandatory to upgrade the methodology involved in achieving them. During web Access it becomes essential to determine the nature of the user so as to understand his preferences in order to generate a customized look and feel of the website and there by offering him a Personalized web surfing experience. The primary Stage of a customized web access is in determining what the user wants from the web via a proper semantic Query Methodology which represents what user need rather than content prevailing in the web for request Query. When the user request is understood, the next task would to categorize the possible results in response to the query depending upon relevance. Furthermore, the process would be to categorize user data according different aspects to create web personalization. This takes the web to next level with web usage prediction using Web log files there by creating a New Customized web for every one with the major focus to represent what matters to the users.\",\"PeriodicalId\":201910,\"journal\":{\"name\":\"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEEICT53079.2022.9768546\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEICT53079.2022.9768546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Web Mining Techniques using Semantic Web
The Evolution of Web over the years has made a significant progress on how the information is organized and stored, as the complexity of the data stored and retrieved increases it becomes mandatory to upgrade the methodology involved in achieving them. During web Access it becomes essential to determine the nature of the user so as to understand his preferences in order to generate a customized look and feel of the website and there by offering him a Personalized web surfing experience. The primary Stage of a customized web access is in determining what the user wants from the web via a proper semantic Query Methodology which represents what user need rather than content prevailing in the web for request Query. When the user request is understood, the next task would to categorize the possible results in response to the query depending upon relevance. Furthermore, the process would be to categorize user data according different aspects to create web personalization. This takes the web to next level with web usage prediction using Web log files there by creating a New Customized web for every one with the major focus to represent what matters to the users.