Towards Publishing Ontology-Based Data Quality Metadata of Open Data

被引：0
|
作者：
Esnaola-Gonzalez, Iker [1 ]
机构：
[1] Basque Res & Technol Alliance BRTA, TEKNIKER, Inaki Goenaga 5, Eibar 20600, Spain
来源：
ARTIFICIAL INTELLIGENCE XXXVIII | 2021年 / 13101卷
基金：
欧盟地平线“2020”;
关键词：
Data quality metadata; Open data; Ontologies;
D O I：
10.1007/978-3-030-91100-3_30
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Although more and more Open Data is available nowadays, this is not translated into an increase of value-added products and services based on this data. To overcome this issue, communicating the quality level of a specific data set is essential. This article presents a service to help Open Data publishers generating the data quality metadata (DQM) for data sets in an automatic manner, for a variety of file formats, and represented with ontological terms to improve its interoperability. Such a service is expected to contribute to fostering the FAIRness of data.
引用
收藏
页码：371 / 376
页数：6
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