Arturo Peñarrubia, A. Fernández-Caballero, P. González, Federico Botella, A. Grau, O. Bonastre
{"title":"Ontology-based interface adaptivity in Web-based learning systems","authors":"Arturo Peñarrubia, A. Fernández-Caballero, P. González, Federico Botella, A. Grau, O. Bonastre","doi":"10.1109/ICALT.2004.1357452","DOIUrl":null,"url":null,"abstract":"Along this document, we expose how user interface adaptivity principles may contribute to improve present Web learning systems. If we are able to establish some student features, based on the documents he has consulted, we can easily guide him through our Web site. In order to collect that information, the Web site considers the metadata associated with each document. Once this information has been obtained, the interface recommends the site documents that are the most tailored to the student's interests. Our proposal consists in mixing the main ideas inherent to user profiling, semantic Web, metadata, and ontologies. The framework supporting the initiative is also introduced in this paper.","PeriodicalId":291817,"journal":{"name":"IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Advanced Learning Technologies, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT.2004.1357452","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Along this document, we expose how user interface adaptivity principles may contribute to improve present Web learning systems. If we are able to establish some student features, based on the documents he has consulted, we can easily guide him through our Web site. In order to collect that information, the Web site considers the metadata associated with each document. Once this information has been obtained, the interface recommends the site documents that are the most tailored to the student's interests. Our proposal consists in mixing the main ideas inherent to user profiling, semantic Web, metadata, and ontologies. The framework supporting the initiative is also introduced in this paper.