{"title":"用演化的元数据模式标记学习对象","authors":"J. Sierra, Alfredo Fernández-Valmayor","doi":"10.1109/ICALT.2008.129","DOIUrl":null,"url":null,"abstract":"This paper describes a social approach to tagging learning objects with metadata. In this approach learning objectspsila creators use a metadata schema that is extended with new categories as more and more learning objects are tagged. These new categories are made available for the rest of the creatorspsila community. The approach also lets creators restructure metadata schemas. The mechanism is also powerful enough to reify (and therefore to interoperate with) existing metadata specifications (e.g. LOM). We have tested this approach in Chasqui, a system for the production and deployment of repositories of learning objects in specialized domains, where metadata are exploited during navigation and search.","PeriodicalId":128089,"journal":{"name":"2008 Eighth IEEE International Conference on Advanced Learning Technologies","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Tagging Learning Objects with Evolving Metadata Schemas\",\"authors\":\"J. Sierra, Alfredo Fernández-Valmayor\",\"doi\":\"10.1109/ICALT.2008.129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a social approach to tagging learning objects with metadata. In this approach learning objectspsila creators use a metadata schema that is extended with new categories as more and more learning objects are tagged. These new categories are made available for the rest of the creatorspsila community. The approach also lets creators restructure metadata schemas. The mechanism is also powerful enough to reify (and therefore to interoperate with) existing metadata specifications (e.g. LOM). We have tested this approach in Chasqui, a system for the production and deployment of repositories of learning objects in specialized domains, where metadata are exploited during navigation and search.\",\"PeriodicalId\":128089,\"journal\":{\"name\":\"2008 Eighth IEEE International Conference on Advanced Learning Technologies\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Eighth IEEE International Conference on Advanced Learning Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICALT.2008.129\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Eighth IEEE International Conference on Advanced Learning Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICALT.2008.129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tagging Learning Objects with Evolving Metadata Schemas
This paper describes a social approach to tagging learning objects with metadata. In this approach learning objectspsila creators use a metadata schema that is extended with new categories as more and more learning objects are tagged. These new categories are made available for the rest of the creatorspsila community. The approach also lets creators restructure metadata schemas. The mechanism is also powerful enough to reify (and therefore to interoperate with) existing metadata specifications (e.g. LOM). We have tested this approach in Chasqui, a system for the production and deployment of repositories of learning objects in specialized domains, where metadata are exploited during navigation and search.