维基百科,或者独角兽搜索

IF 0.2 Q2 Arts and Humanities
JLIS.it Pub Date : 2022-09-15 DOI:10.36253/jlis.it-484
G. Bergamin
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引用次数: 1

摘要

本文的目的是研究新兴书目模型(特别是IFLA LRM)的技术实现,同时考虑到语义网最广泛的平台之一,即维基基础。考虑到实施LRM的不同举措,包括:a)一个原型编目界面;b)法国国家图书馆(Bnf)新编目系统的实施;c)测试使用Wikibase数据模型的一个特性——即“限定符”——为LRM命名实体找到一个可持续的解决方案。Wikibase和他的数据模型不能被认为是解决所有问题的神奇独角兽。我们需要更深入的分析和测试,但是作为一个中间结果,我们可以认为维基基础在书目领域也是一个很有前途的平台,而且入门门槛很低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wikibase, or The search for the unicorn
The aim of this paper is to study the technological implementation of the emergent bibliographic models (IFLA LRM in particular) taking into account one of the most widespread platforms for the semantic web, namely Wikibase. Different initiatives of implementation of LRM have been taken into account, included: a) a prototype cataloging interface; b)the implementation of the new cataloging system for the Bibliothéque Nationale de France (Bnf); c) a test of use of one of the feature of the Wikibase data model - namely the "qualifier"- to find a sustainable solution for the LRM  nomen entity. Wikibase and his data model cannot be considered the magical unicorn that solves all problems. More in-depth analysis and tests are needed, but – as an intermediate result – we can consider Wikibase  a promising platform also in the bibliographic field with a low entry barrier.
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来源期刊
JLIS.it
JLIS.it INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
0.80
自引率
0.00%
发文量
16
审稿时长
12 weeks
期刊介绍: JLIS.it is an academic journal of international scope, peer-reviewed and open access, aiming to valorise international research in Library and Information Science. Contributions in LIS, Library and Information Science, are welcome.
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