Human similarity and relatedness judgements between concepts underlie most of cognitive
capabilities, such as categorisation, memory, decision-making and reasoning. For this …

As a part of innovation in forecasting, scientific topic hotness prediction plays an essential
role in dynamic scientific topic assessment and domain knowledge transformation modeling …

Fuzzy Petri nets (FPNs) are a useful instrument for modelling expert systems to conduct
knowledge representation and reasoning. Many studies have been carried out for improving …

A knowledge-based methodology is proposed for sentiment analysis on social networks.
The work was focused on semantic processing taking into account the content handling the …

The global outburst of COVID-19 introduced severe issues concerning the capacity and
adoption of healthcare systems and how vulnerable citizen classes might be affected. The …

The abundance of complex natural language descriptions related to requirements data
presents major challenges for requirement analysis. Knowledge graphs (KGs), as the latest …

This research uses the computing of conceptual distance to measure information content in
Wikipedia categories. The proposed metric, generality, relates information content to …

Abstract Knowledge Graphs (KG) leverage the Resource Description Framework (RDF) to
model clear and static resources, enabling the revelation of latent meanings through …

Conceptual distance refers to the degree of proximity between two concepts within a
conceptualization. It is closely related to semantic similarity and relationships, but its …

The healthcare industry faces many challenges like demand for high-quality remote
services, especially when pandemics like COVID-19 spread across a region or even all over …