The Role of Vocabularies in the Age of Data: The Question of Research Data

IF 0.6 4区 管理学 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE Knowledge Organization Pub Date : 2022-01-01 DOI:10.5771/0943-7444-2022-7-467
C. H. Marcondes
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Abstract

The objective of this work is to discuss how vocabularies can contribute to assigning computational semantics to digital research data within the context of Big Data, so that computers can process them, allowing their reuse on large scale. A conceptualization of data is developed in an attempt to make it clearer what would be data, as an essential element of the Big Data phenomenon, and in particular, digital research data. It then proceeds to analyse digital research data uses and cases and their relation to semantics and vocabularies. Data is conceptualized as an artificial, intentional construction that represents a property of an entity within a specific domain and serves as the essential component of Big Data. The concept of semantic expressivity is discussed, and is used to classify the different vocabularies; within such a classification ontologies, are shown to be a type of knowledge organization system with a higher degree of semantic expressivity. Features of vocabularies that may be used within the context of the Semantic Web and the Linked Open Data to assign machine-processable semantics to Big Data are suggested. It is shown that semantics may be assigned at different data aggregation levels.
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词汇在数据时代的作用:研究数据的问题
这项工作的目的是讨论词汇表如何有助于在大数据的背景下为数字研究数据分配计算语义,以便计算机可以处理它们,允许它们在大规模上重用。数据的概念化是为了更清楚地说明什么是数据,作为大数据现象的基本要素,特别是数字研究数据。然后继续分析数字研究数据的使用和案例及其与语义和词汇的关系。数据被定义为一种人工的、有意的构造,它代表了特定领域内实体的属性,是大数据的基本组成部分。讨论了语义表达的概念,并利用语义表达对不同的词汇进行分类;在这样的分类本体中,被证明是一种具有更高程度语义表达能力的知识组织系统。建议在语义网和链接开放数据的上下文中使用词汇表的特征,以便为大数据分配机器可处理的语义。结果表明,语义可以在不同的数据聚合级别上分配。
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来源期刊
Knowledge Organization
Knowledge Organization INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
1.40
自引率
28.60%
发文量
7
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