Over the years, a large amount of temporal data needs to be shared and exchanged on the
Web. Resource Description Framework (RDF) has been widely accepted and has rapidly …

The Linked Data paradigm has enabled a huge shared infrastructure for connecting data
from different domains which can be browsed and queried together as a huge knowledge …

Sensor Network has been widely used in all fields, and a large number of heterogeneous
data is produced. In order to make these data shared and integrated semantically, semantic …

The most important aspect of a smart and connected ecosystem is the integration of varied
and heterogeneous data as well as devices to provide value. The existing data …

Currently, a large amount of spatial and spatiotemporal RDF data has been shared and
exchanged on the Internet and various applications. Resource Description Framework …

Web Ontology Language (OWL 2) recommendation is an ontology language for the
Semantic Web. It allows defining both schema (ie, entities, axioms, and expressions) and …

In the modern world of technology, the ontology is considered as an important factor in
integrating data and creating semantic links between concepts. Given the reasoners and …

Graphs, as simple yet powerful data structures, play a pivotal role in modeling and analyzing
relationships among real-world entities. In the data representation and analysis landscape …

With the rapid increase of temporal data, how to represent and manage temporal data has
become a research issue worth digging in. To better represent temporal data, there have …

Ontology is an important factor in the integration of heterogeneous semantic information.
Description logic, as a formal language for expressing ontologies, does not include the …