OAI框架中的存储库同步

Xiaoming Liu, K. Maly, M. Zubair, Michael L. Nelson
{"title":"OAI框架中的存储库同步","authors":"Xiaoming Liu, K. Maly, M. Zubair, Michael L. Nelson","doi":"10.1109/JCDL.2003.1204863","DOIUrl":null,"url":null,"abstract":"The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) began as an alternative to distributed searching of scholarly e-print repositories. The model embraced by the OAI-PMH is that of metadata harvesting, where value-added services (by a \"service provider\") are constructed on cached copies of the metadata extracted from the repositories of the harvester's choosing. While this model dispenses with the well-known problems of distributed searching, it introduces the problem of synchronization. Stated simply, this problem arises when the service provider's copy of the metadata does not match the metadata currently at the constituent repositories. We define some metrics for describing the synchronization problem in the OAI-PMH. Based on these metrics, we study the synchronization problem of the OAI-PMH framework and propose several approaches for harvesters to implement better synchronization. In particular, if a repository knows its update frequency, it can publish it in an OAI-PMH identify response using an optional about container that borrows from RDF Site Syndication (RSS) Format.","PeriodicalId":248854,"journal":{"name":"2003 Joint Conference on Digital Libraries, 2003. Proceedings.","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Repository synchronization in the OAI framework\",\"authors\":\"Xiaoming Liu, K. Maly, M. Zubair, Michael L. Nelson\",\"doi\":\"10.1109/JCDL.2003.1204863\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) began as an alternative to distributed searching of scholarly e-print repositories. The model embraced by the OAI-PMH is that of metadata harvesting, where value-added services (by a \\\"service provider\\\") are constructed on cached copies of the metadata extracted from the repositories of the harvester's choosing. While this model dispenses with the well-known problems of distributed searching, it introduces the problem of synchronization. Stated simply, this problem arises when the service provider's copy of the metadata does not match the metadata currently at the constituent repositories. We define some metrics for describing the synchronization problem in the OAI-PMH. Based on these metrics, we study the synchronization problem of the OAI-PMH framework and propose several approaches for harvesters to implement better synchronization. In particular, if a repository knows its update frequency, it can publish it in an OAI-PMH identify response using an optional about container that borrows from RDF Site Syndication (RSS) Format.\",\"PeriodicalId\":248854,\"journal\":{\"name\":\"2003 Joint Conference on Digital Libraries, 2003. Proceedings.\",\"volume\":\"111 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2003 Joint Conference on Digital Libraries, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JCDL.2003.1204863\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 Joint Conference on Digital Libraries, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCDL.2003.1204863","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

摘要

元数据收集开放档案倡议协议(OAI-PMH)最初是作为学术电子打印库分布式搜索的替代方案。OAI-PMH所采用的模型是元数据收集模型,其中增值服务(由“服务提供者”提供)是在从收集者选择的存储库中提取的元数据的缓存副本上构建的。虽然该模型避免了众所周知的分布式搜索问题,但它引入了同步问题。简单地说,当服务提供者的元数据副本与组成存储库中的当前元数据不匹配时,就会出现此问题。我们定义了一些度量来描述OAI-PMH中的同步问题。基于这些指标,我们研究了OAI-PMH框架的同步问题,并提出了几种方法来实现更好的同步。特别是,如果存储库知道其更新频率,则可以使用从RDF站点联合(RSS)格式借用的可选about容器将其发布到OAI-PMH标识响应中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Repository synchronization in the OAI framework
The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) began as an alternative to distributed searching of scholarly e-print repositories. The model embraced by the OAI-PMH is that of metadata harvesting, where value-added services (by a "service provider") are constructed on cached copies of the metadata extracted from the repositories of the harvester's choosing. While this model dispenses with the well-known problems of distributed searching, it introduces the problem of synchronization. Stated simply, this problem arises when the service provider's copy of the metadata does not match the metadata currently at the constituent repositories. We define some metrics for describing the synchronization problem in the OAI-PMH. Based on these metrics, we study the synchronization problem of the OAI-PMH framework and propose several approaches for harvesters to implement better synchronization. In particular, if a repository knows its update frequency, it can publish it in an OAI-PMH identify response using an optional about container that borrows from RDF Site Syndication (RSS) Format.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信