Deploying Linked Open Vocabulary (LOV) to Enhance Library Linked Data

作者：Sam Gyun Oh, Myongho Yi, Wonghong Jang · 发表于：Journal of Information Science Theory and Practice · 年份：2015 · DOI：10.1633/jistap.2015.3.2.1 · 被引用次数：5 · 研究领域：Semantic Web and Ontologies、Library Science and Information Systems、Biomedical Text Mining and Ontologies

Since the advent of Linked Data (LD) as a method for building webs of data, there have been many attempts to apply and implement LD in various settings. Efforts have been made to convert bibliographic data in libraries into Linked Data, thereby generating Library Linked Data (LLD). However, when memory institutions have tried to link their data with external sources based on principles suggested by Tim Berners-Lee, identifying appropriate vocabularies for use in describing their bibliographic data has proved challenging. The objective of this paper is to discuss the potential role of Linked Open Vocabularies (LOV) in providing better access to various open datasets and facilitating effective linking. The paper will also examine the ways in which memory institutions can utilize LOV to enhance the quality of LLD and LLD-based ontology design.