Collection/Item Metadata Relationships

Allen H. Renear, Karen M. Wickett, R. Urban, David Dubin, Sarah L. Shreeves
{"title":"Collection/Item Metadata Relationships","authors":"Allen H. Renear, Karen M. Wickett, R. Urban, David Dubin, Sarah L. Shreeves","doi":"10.18452/1254","DOIUrl":null,"url":null,"abstract":"Contemporary retrieval systems, which search across collections, usually ignore collection-level metadata. Alternative approaches, exploiting collection-level information, will require an understanding of the various kinds of relationships that can obtain between collection-level and item-level metadata. This paper outlines the problem and describes a project that is developing a logic-based framework for classifying collection/item metadata relationships. This framework will support (i) metadata specification developers defining metadata elements, (ii) metadata creators describing objects, and (iii) system designers implementing systems that take advantage of collection-level metadata. We present three examples of collection/item metadata relationship categories, attribute/value-propagation, value-propagations, and value-constraint and show that even in these simple cases a precise formulation requires modal notions in addition to first-order logic. These formulations are related to recent work in information retrieval and ontology evaluation.","PeriodicalId":122537,"journal":{"name":"Dublin Core Conference","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dublin Core Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18452/1254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

Abstract

Contemporary retrieval systems, which search across collections, usually ignore collection-level metadata. Alternative approaches, exploiting collection-level information, will require an understanding of the various kinds of relationships that can obtain between collection-level and item-level metadata. This paper outlines the problem and describes a project that is developing a logic-based framework for classifying collection/item metadata relationships. This framework will support (i) metadata specification developers defining metadata elements, (ii) metadata creators describing objects, and (iii) system designers implementing systems that take advantage of collection-level metadata. We present three examples of collection/item metadata relationship categories, attribute/value-propagation, value-propagations, and value-constraint and show that even in these simple cases a precise formulation requires modal notions in addition to first-order logic. These formulations are related to recent work in information retrieval and ontology evaluation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
集合/项元数据关系
当代检索系统跨集合进行搜索,通常忽略集合级元数据。利用集合级信息的替代方法需要理解可以在集合级和项级元数据之间获得的各种关系。本文概述了这个问题,并描述了一个项目,该项目正在开发一个基于逻辑的框架,用于对集合/项目元数据关系进行分类。这个框架将支持(i)定义元数据元素的元数据规范开发人员,(ii)描述对象的元数据创建者,以及(iii)利用集合级元数据实现系统的系统设计人员。我们给出了集合/项元数据关系类别、属性/值传播、值传播和值约束的三个示例,并表明即使在这些简单的情况下,精确的表述除了一阶逻辑之外还需要模态概念。这些公式与最近在信息检索和本体评价方面的工作有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
ORCID: Using API Calls to Assess Metadata Completeness Dolmen: A Linked Open Data Model to Enhance Museum Object Descriptions Digital Asset Management Systems: Open Source or Not Open Source? Understanding Metadata Needs when Migrating DAMS Bringing a Small Archival Collection to Life on the Web: Remembering the Real Winnie
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1