One Concept, One Term, Good Practice but How to Achieve? —Improving Facet Values Quality for Samuel Proctor Oral History Collection, Hosted by the University of Florida Digital Collections
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引用次数: 3
Abstract
Abstract Faceted search, also known as dynamic taxonomies, is a popular feature applied to digital collection sites. Appearing as clickable labels, facets facilitate search result refinement and content browsing. To achieve the utmost efficiency, faceted search requires each facet value to represent a single concept–that is, one controlled vocabulary term represents one concept. However, in reality, this status is hard to achieve. An example of this can be seen in the digital collection of Samuel Proctor Oral History Program, a high-profile international resource hosted by the University of Florida Digital Collections. The Topical Subject and Genre terms appear with many vocabulary control issues: the same concept is often expressed with different terms; the same term appears with different spelling variations; and/or outdated terms mingle with more up-to-date ones. Additionally, compound terms that represent multiple concepts prohibit the grouping of content that share individual concepts. In short, a great deal of improvement will be needed to optimize the faceted search. To address these issues, the Digital Support Services department of the George A. Smathers Libraries at the University of Florida launched a pilot metadata remediation project using an out-of-box product – Oxygen XML Editor. This article, in addition to providing one more metadata remediation case study, traces the discussions around metadata quality and analyses the general metadata remediation process. Moreover, this article enriches the discussion of vocabulary control in relation to a core function of digital collection sites–faceted search.
分面搜索,也称为动态分类法,是应用于数字馆藏网站的一种流行功能。facet以可点击标签的形式出现,方便了搜索结果的细化和内容浏览。为了达到最高效率,分面搜索要求每个面值表示一个概念——即一个受控词汇表术语表示一个概念。然而,在现实中,这种状态很难实现。这方面的一个例子可以在塞缪尔·普罗克特口述历史项目的数字馆藏中看到,这是一个由佛罗里达大学数字馆藏主办的备受瞩目的国际资源。主题词和体裁词在词汇控制方面存在诸多问题:同一概念往往用不同的词来表达;相同的术语有不同的拼写变化;而且/或者过时的术语与最新的术语混杂在一起。此外,表示多个概念的复合术语禁止对共享单个概念的内容进行分组。简而言之,优化分面搜索需要大量的改进。为了解决这些问题,佛罗里达大学George a . Smathers图书馆的数字支持服务部启动了一个试点元数据修复项目,该项目使用了一个开箱即用的产品——Oxygen XML Editor。本文除了提供另一个元数据修复案例研究之外,还跟踪了围绕元数据质量的讨论,并分析了一般的元数据修复过程。此外,本文还丰富了与数字收藏站点的核心功能——分面搜索——相关的词汇表控制的讨论。