One of the paradigms of Industry 4.0 is the quick answer of companies over changes on
customer's necessities. This can only be achieved when an efficient vertical and horizontal …

This paper presents a workflow for the design of transformation processes using different
kinds of expert's knowledge. It introduces POND (Process and observation ONtology …

In spite of the undeniable success of the ontologies, where they have been widely applied
successfully to represent the knowledge in lots of real-world problems, they cannot …

An ontology-based system can currently logically reason through the Web Ontology
Language Description Logic (OWL DL). To perform probabilistic reasoning, the system must …

Designing new processes for bio-based and biodegradable food packaging is an
environmental and economic challenge. Due to the multiplicity of the parameters, such an …

Knowledge Graphs (KGs) are a major asset for companies thanks to their great flexibility in
data representation and their numerous applications, eg, vocabulary sharing, Q/A or …

Exploiting experts' domain knowledge represented in the ontology can significantly enhance
the quality of the Bayesian network (BN) structure learning. However, in practice, using such …

Today, there is a critical need to develop new solutions that enable classical ontologies to
deal with uncertain knowledge, which is inherently attached to the most of the real world's …

In the current situation, the presence of Agent-based figuring is responsible to redesign the
idea and exercise of arranging and executing the perplexing frameworks. This article …

Reasoning in ontology is currently limited to logical reasoning. It is because ontology does
not have a standard for probabilistic reasoning. Various approaches have been made by …