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 …

AIoT (Artificial Intelligence of Things) is a relatively new term that has recently become a hot
topic that combines two of the hottest acronyms, AI (Artificial Intelligence) and IoT (Internet of …

With the proliferation of sensors, semantic web technologies are becoming closely related to
sensor network. The linking of elements from semantic web technologies with sensor …

Semantic Sensor Web (SSW) links the semantic web technique with the sensor network,
which utilizes sensor ontology to describe sensor information. Annotating sensor data with …

It is beneficial to annotate sensor data with distinct sensor ontologies in order to facilitate
interoperability among different sensor systems. However, for this interoperability to be …

To implement the semantic interoperability among intelligent sensor applications, it is
necessary to match the identical entities across the sensor ontologies. Since sensor …

Sensor ontology is able to resolve the sensor data heterogeneity issue among the Cybertwin-
driven 6G based Internet of Everything (IoE) systems. However, due to human subjectivity …

In this paper we give a brief explanation of how Sub-Ontology based Ontology Matching
(SOBOM) method gets the alignment results at OAEI2010. SOBOM deal with an ontology …

Several challenges to the field of ontology matching have been outlined in recent research.
The selection of the appropriate similarity measures as well as the configuration tuning of …

An ontology can formally present the domain knowledge by specifying the domain concepts
and their relationships, which is a kernel technique for addressing the data heterogeneity …