Informal knowledge constantly transitions into formal domain knowledge in the dynamic
knowledge base. This article focuses on an integrative understanding of the knowledge role …

Comprehending the patterns of knowledge evolution benefits funding agencies,
policymakers, and researchers in developing creative ideas. We introduce the notation of …

Abstract Knowledge tracing aims to diagnose the student's knowledge status and predict the
responses to the next questions, which is a critical task in personalized learning. The …

This study proposes a novel Approximately Balanced Tree Partitioning Algorithm (TPA) to
overcome the significant challenges in genealogical data management, encompassing the …

Knowledge graphs are proving to be an increasingly important part of modern enterprises,
and new applications of such enterprise knowledge graphs are still being found. In this …

Knowledge graphs are an effective way to store semantics in a structured format that is
easily used by computer systems. In the past few decades, work across different research …

A Knowledge Graph (KG) is a machine-readable, labeled graph-like representation of
human knowledge. As the main goal of KG is to represent data by enriching it with computer …

Background: Rumination plays a major role in various forms of psychopathology. In a recent
study, we tested the main predictions of the key processes that drive rumination from major …

Recent cloud search engines lack a formal method in their service composition mechanisms
to automatically build composite services realizing user requirements. This paper prescribes …

A knowledge graph (KG) provides a framework for data representation, integration, analytics
by expressing sets of linked descriptions of entities and places data in a context via semantic …