More and more data in various formats are integrated into knowledge graphs. However,
there is no overview of existing approaches for generating knowledge graphs from …

Abstract Knowledge graph has become a cutting-edge technology for linking and integrating
heterogeneous, cross-domain datasets to address critical scientific questions. As big data …

This paper presents a knowledge graph-based approach for the dynamic control of a district
heating network with integrated emission dispersion modelling. We propose an …

This review focuses on recent research literature on the use of Semantic Web Technologies
(SWT) in city planning. The review foregrounds representational, evaluative, projective, and …

The integration of the raster data cube alongside another form of geospatial data (eg, vector
data) raises considerable challenges when it comes to managing and representing it using …

This paper introduces a prospective study of the potential of spatio-temporal graphs (ST-
graphs) and knowledge graphs (K-graphs) for the modelling of geographical phenomena …

This paper explores the utilisation of knowledge graphs and an agent-based implementation
to enhance urban resilience and accessibility in city planning. We expand The World Avatar …

The development of artificial intelligence models for data driven decision making has a lot of
potential for the manufacturing sector. Nevertheless, applications in industry are currently …

Effective retrieval is essential for finding resources in demand handily amidst extensive data
records in data warehouse. Mainstream map retrieval methods suffer from intention gap …

According to the world economic forum report, around 70% of generated data are not used.
This limitation of usage is mainly due to the lack of interoperability and linking of data that …