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 …

A knowledge graph (KG), a special form of semantic network, integrates fragmentary data
into a graph to support knowledge processing and reasoning. KG quality control is important …

In the recent years, different Web knowledge graphs, both free and commercial, have been
created. While Google coined the term “Knowledge Graph” in 2012, there are also a few …

Smart speakers such as Alexa and Google Home introduced Artificial Intelligence (AI) in
millions soon billions of households, making AI an everyday experience. We can now look …

In recent years, several noteworthy large, cross-domain, and openly available knowledge
graphs (KGs) have been created. These include DBpedia, Freebase, OpenCyc, Wikidata …

The DBpedia community project extracts structured, multilingual knowledge from Wikipedia
and makes it freely available on the Web using Semantic Web and Linked Data …

The development and standardization of Semantic Web technologies has resulted in an
unprecedented volume of data being published on the Web as Linked Data (LD). However …

Linked Open Data (LOD) comprises an unprecedented volume of structured data on the
Web. However, these datasets are of varying quality ranging from extensively curated …

Abstract Linked Data on the Web is either created from structured data sources (such as
relational databases), from semi-structured sources (such as Wikipedia), or from …

Abstract With Linked Data, a very pragmatic approach towards achieving the vision of the
Semantic Web has gained some traction in the last years. The term Linked Data refers to a …