The quality of a Knowledge Graph (also known as Linked Data) is an important aspect to
indicate its fitness for use in an application. Several quality dimensions are identified, such …

The increasing adoption of the Linked Data principles brought with it an unprecedented
dimension to the Web, transforming the traditional Web of Documents to a vibrant …

Abstract The Web of Data, and in particular Linked Data, has seen tremendous growth over
the past years. However, reuse and take-up of these rich data sources is often limited and …

Linked Data principles and technologies are being investigated in various areas. In the
Educational context, many studies are using Linked Data trying to solve problems of …

Wikidata has become one of the most prominent open knowledge graphs (KGs) on the Web.
Relying on a community of users with different expertise, this cross-domain KG is directly …

Cultural heritage institutions have recently started to share their metadata as Linked Open
Data (LOD) in order to disseminate and enrich them. The publication of large bibliographic …

Today's development environments in the manufacturing industry require different
development tools to work together. These complex environments are highly heterogeneous …

The Data Quality Vocabulary (DQV) provides a metadata model for expressing data quality.
DQV was developed by the Data on the Web Best Practice (DWBP) Working Group of the …

In recent years, cultural heritage institutions have been exploring the benefits of applying
Linked Open Data to their catalogs and digital materials. Innovative and creative methods …

Purpose Health-care ontologies and their terminologies play a vital role in knowledge
representation and data integration for health information. In health-care systems, Internet of …