Abstract Data Mining and Knowledge Discovery in Databases (KDD) is a research field
concerned with deriving higher-level insights from data. The tasks performed in that field are …

Datasets published in the LOD cloud are recommended to follow some best practice in order
to be 4-5 stars Linked Data compliant. They can often be consumed and accessed by …

Data Mining and Knowledge Discovery in Databases (KDD) is a research field concerned
with deriving higher-level insights from data. The tasks performed in this field are knowledge …

When analyzing statistical data, one of the most basic and at the same time widely used
techniques is analyzing correlations. As shown in previous works, Linked Open Data is a …

[目的] 基于**历代人物传记资料库(CBDB) 数据, 利用知识图谱的原理和方法描述宋代文人的
学术师承关系, 为人文领域的知识发现提供新的技术实现方式和研究视角.[应用背景] …

Purpose–The purpose of this paper is to present a new approach toward automatically
visualizing Linked Open Data (LOD) through metadata analysis. Design/methodology …

There is a vast amount of Linked Data on the web spread across a large number of datasets.
One of the visions behind Linked Data is that the published data is conveniently reusable by …

Many studies, in the literature, have affirmed a low level of user satisfaction concerning the
understandability and readability of large-scale Linked Data visualizations offered by current …

(57) ABSTRACT A set of transition characteristics can be identified. The set of transition
characteristics can include continuities and discontinuities between data fields and data …

There is a need for being able to effectively demonstrate the benefits of publishing Linked
Data. There are already many datasets and they are no longer limited to research based …