资源集合／个体资源元数据关系描述及实现被引量：1

Collection/Item Metadata Relationships

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摘要只要是涉及资源集合搜索,现代检索系统一般都忽略了资源集合元数据的问题。而要揭示资源集合层次的信息,一种可选的方法是通过获得资源集合级和文献单元级的元数据,从而深刻理解它们之间的关系。介绍一个对资源集合与文献单元元数据关系提供分类逻辑框架的开发项目。这个逻辑构架支持:元数据规范的开发者定义元数据元素;元数据创建者描述对象;系统设计者实现应用系统的开发,该系统能够充分利用资源集合级元数据所带来的好处。介绍资源集合与文献单元元数据之间存在的三类关系实例:"属性/值传递"、"值传递"和"值约束",表明即便是对于这些简单的例子,一个精确的公式除了要符合一阶谓词逻辑之外,还需要引入模态概念。这些公式也属于近期信息检索和本体评价方面的研究成果。 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 descri- bing 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 -propaga- tion, 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.

作者 AllenH.Renear KarenM.Wickett RichardJ.Urban DavidDubin SarahL.Shreeves 张海霞(译) 刘炜(校)

机构地区美国伊利诺斯州大学科学与学术信息学研究中心上海大学图书情报档案学系上海图书馆

出处《现代图书情报技术》 CSSCI 北大核心 2009年第3期23-29,共7页 New Technology of Library and Information Service

基金 GSLIS科学与学术信息研究中心(CIRSS)2007 IML SNIG研究和示范基金的资助

关键词元数据都柏林核心资源集合情境逻辑推理 Metadata Dublin Core Collections Context Logic Inferencing

分类号 TP399-C1 [自动化与计算机技术—计算机应用技术]

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