One of the most critical tasks for improving data quality and increasing the reliability of data
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …

As a powerful expression of human knowledge in a structural form, knowledge graph (KG)
has drawn great attention from both the academia and the industry and a large number of …

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 …

Abstract Knowledge Graphs (KGs) that publish RDF data modelled using ontologies in a
wide range of domains have populated the Web. The SHACL language is a W3C …

One of the most important tasks for improving data quality and the reliability of data analytics
results is Entity Resolution (ER). ER aims to identify different descriptions that refer to the …

Question answering (QA) is a hot field of research in Natural Language Processing. A big
challenge in this field is to answer questions from knowledge-dependable domain. Since …

In many processes, ranging from medical treatments to supply chains and employee
management, there is a growing need to gather information with the objective of enhancing …

Information related to the COVID-19 pandemic ranges from biological to bibliographic, from
geographical to genetic and beyond. The structure of the raw data is highly complex, so …

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 …