{"title":"Tracking and locating source content in a weblog using semantic annotation techniques","authors":"R. Priyadarshini, L. Tamilselvan","doi":"10.1109/ICRTIT.2013.6844238","DOIUrl":null,"url":null,"abstract":"In recent years, the World Wide Web has grown tremendously and become more complex because of the growing number of users and the content being added in varied formats. Web 1.0 suffered from publishing limitations as it requires significant amount of software investments. Web 2.0 has changed this by providing easy to use web tools to enable people to generate content and publish it easily on the web. This resulted in an explosion of web contents and has made relevant information retrieval challenging. This has led to the evolution of semantic web, where the traditional web content is added with semantic repository. There are semantic web based tools being developed and researched to make the information retrieval more efficient. This paper describes a semantic weblog which has the feature of locating the exact source content from the reference URLs. This ideology will be used in the CMS (Content Management System). It's highly possible that the content in CMS will be redundant over the web as most of the time the content will be gathered from already existing websites. Back tracking the source of such content will become obsolete and also changes to the source are difficult to be tracked. The proposed document based CMS varies from these traditional CMS in architecture, storage and control flow. Source URLs and content markings are indexed and mirrored. The Semantically annotated content are located in the stored websites and matched with the original source websites. It also allows backtracking of data to the original source URL(s) which will also be referred for future use.","PeriodicalId":113531,"journal":{"name":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Recent Trends in Information Technology (ICRTIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2013.6844238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In recent years, the World Wide Web has grown tremendously and become more complex because of the growing number of users and the content being added in varied formats. Web 1.0 suffered from publishing limitations as it requires significant amount of software investments. Web 2.0 has changed this by providing easy to use web tools to enable people to generate content and publish it easily on the web. This resulted in an explosion of web contents and has made relevant information retrieval challenging. This has led to the evolution of semantic web, where the traditional web content is added with semantic repository. There are semantic web based tools being developed and researched to make the information retrieval more efficient. This paper describes a semantic weblog which has the feature of locating the exact source content from the reference URLs. This ideology will be used in the CMS (Content Management System). It's highly possible that the content in CMS will be redundant over the web as most of the time the content will be gathered from already existing websites. Back tracking the source of such content will become obsolete and also changes to the source are difficult to be tracked. The proposed document based CMS varies from these traditional CMS in architecture, storage and control flow. Source URLs and content markings are indexed and mirrored. The Semantically annotated content are located in the stored websites and matched with the original source websites. It also allows backtracking of data to the original source URL(s) which will also be referred for future use.