In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

YAGO is one of the large knowledge bases in the Linked Open Data cloud. In this resource
paper, we present its latest version, YAGO 4, which reconciles the rigorous ty** and …

Abstract The Relational to RDF Map** Language (R2RML) became a W3C
Recommendation a decade ago. Despite its wide adoption, its potential applicability beyond …

Hyper-relational knowledge graphs (KGs)(eg, Wikidata) enable associating additional key-
value pairs along with the main triple to disambiguate, or restrict the validity of a fact. In this …

Information exchange between building information modelling (BIM) and geographic
information system (GIS) is problematic, especially in terms of semantic information. Graph …

Deep Learning and factorization-based collaborative filtering recommendation models have
undoubtedly dominated the scene of recommender systems in recent years. However …

Ontology Based Data Access (OBDA) refers to a range of techniques, algorithms and
systems that can be used to deal with the heterogeneity of data that is common inside many …

RDF reification is a data modelling solution for writing RDF statements about RDF
statements. A set of approaches exist in the literature to express statement-level metadata …

The need to integrate siloed data in the built environment led to a gaining interest in
semantic web technologies in the Architecture, Engineering and Construction (AEC) sector …