Automated Monitoring of Data Quality in Linked Data Systems

被引：0

作者：

Feeney, Kevin ^{[1
]}

Verma, Rajan ^{[1
]}

Brunner, Max ^{[1
]}

Stern, Andre ^{[1
]}

Gavin, Odhran ^{[1
]}

O'Sullivan, Declan ^{[1
]}

Brennan, Rob ^{[1
]}

机构：

[1] Trinity Coll Dublin, Sch Comp Sci & Stat, Knowledge & Data Engn Grp, Dublin 2, Ireland

来源：

COMPUTATIONAL HISTORY AND DATA-DRIVEN HUMANITIES, CHDDH 2016 | 2016年 / 482卷

关键词：

Linked data quality metrics; Data curation; Visualization; Semantic web;

D O I：

暂无

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

This paper describes the Dacura system's ability to monitor data quality. This is evaluated in an experiment where a dataset of historical political violence is collected, enriched, interlinked, and published. The results of the experiment demonstrate that automated quality measures enable the construction of publication pipelines which allow datasets to evolve rapidly without loss of quality.

引用

页码：121 / 123

页数：3