With the explosive growth of artificial intelligence (AI) and big data, it has become vitally
important to organize and represent the enormous volume of knowledge appropriately. As …

Abstract Knowledge Graphs (KGs) have made a qualitative leap and effected a real
revolution in knowledge representation. This is leveraged by the underlying structure of the …

The rapid advancement of computing technologies has facilitated the implementation of
AIED (Artificial Intelligence in Education) applications. AIED refers to the use of AI (Artificial …

Abstract Knowledge graphs, representation of information as a semantic graph, have
caused wide concern in both industrial and academic world. Their property of providing …

Metaverse, an alternative universe for play, work, and interaction, has become a captivating
topic for academia and industry in recent times. This opens the question on what a …

Background: Knowledge is evolving over time, often as a result of new discoveries or
changes in the adopted methods of reasoning. Also, new facts or evidence may become …

We propose a large, scalable engineering knowledge graph, comprising sets of real-world
engineering “facts” as< entity, relationship, entity> triples that are found in the patent …

The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …

The scale of medical data is growing rapidly, and these data come from different data
sources. The amount of data is huge, the production speed is fast, and the format is different …

Knowledge graphs gained popularity in recent years and have been useful for concept
visualization and contextual information retrieval in various applications. However …