Nowadays, there are a lot of techniques and tools for addressing the ontology matching
problem; however, the complex nature of this problem means that the existing solutions are …

Nowadays many techniques and tools are available for addressing the ontology matching
problem, however, the complex nature of this problem causes existing solutions to be …

The Semantic Web, as a decentralized complex system, is akin to be fuzzy and evolutionary.
In this article, a comprehensive survey on the applications of variant Computational …

Ontology matching is an effective method to establish interoperability between
heterogeneous ontologies. Artificial neural networks are powerful computational models …

With the emergence of the Semantic Web several domain ontologies were developed, which
varied not only in their structure but also in the natural language used to define them. The …

Achieving high match accuracy for a large variety of ontologies, considering a single
matcher is often not sufficient for high match quality. Therefore, combining the corresponding …

This chapter is focused on presenting new and recent techniques, such as the combination
of agent-based technologies and Artificial Neural Network (ANN) models that can be used …

Ontology matching is a critical task in knowledge representation and integration, with
numerous applications in various domains. Deep learning methods have shown promising …

Background The medical community uses a variety of data standards for both clinical and
research reporting needs. ISO 11179 Common Data Elements (CDEs) represent one such …

This paper presents an Artificial Neural Network-based (ANN) agent with capabilities for
discovering distributed knowledge sources. This agent has the responsibility of guiding …