Abstract Significant advancements in Earth Observation (EO) technologies, encompassing
global remote sensing and environment sensor networks, have greatly progressed the field …

In the last three decades, the field of computational intelligence has seen a profusion of
population‐based metaheuristics applied to a variety of problems, where they achieved …

In order to enhance the communication between sensor networks in the Internet of things
(IoT), it is indispensable to establish the semantic connections between sensor ontologies in …

The global environment has become more polluted due to the rapid development of
industrial technology. However, the existing machine learning prediction methods of air …

Data heterogeneity is the obstacle for the resource sharing on Semantic Web (SW), and
ontology is regarded as a solution to this problem. However, since different ontologies are …

Ontology matching is an integral part for establishing semantic interoperability. One of the
main challenges within the ontology matching operation is semantic heterogeneity, ie …

The wide application of wireless sensor networks (WSN) brings challenges to the
maintenance of their security, integrity, and confidentiality. As an important active defense …

Digital Library (DL) is a source of inspiration for the standards and technologies on Semantic
Web (SW), which is usually implemented by using bibliographic data. To address DL's data …

Network intrusion detection system are significant features that contribute to the enterprises
and organization network success. In the past decade, Intrusion Detection system (IDS) …

Ontology applies commonly to solve the problem of heterogeneity of data in the Semantic
Web, but the heterogeneity problem between two ontologies seriously affects their …