Sep 10, 2023 · Abstract:We consider the problem of identifying authorship by posing it as a knowledge graph construction and refinement.
scholar.google.com › citations
Sep 10, 2023 · Abstract—We consider the problem of identifying authorship by posing it as a knowledge graph construction and refinement.
We consider the problem of identifying authorship by posing it as a knowledge graph construction and refinement. To this effect, we model this problem as ...
People also ask
What is a RDF knowledge graph?
What is knowledge base or knowledge graph?
What are the different types of knowledge graphs?
What is the knowledge graph completion method?
Sep 13, 2023 · In this episode, we explore an AI-based method to identify authorship of scientific publications using relational regression trees and ...
Knowledge graphs are a collection of interlinked descriptions of entities that put data into context and enable data analytics & sharing.
[PDF] Knowledge Graph Refinement: A Survey of Approaches and ...
www.semantic-web-journal.net › files
In order to further increase the utility of such knowledge graphs, various refinement methods have been proposed, which try to infer and add missing knowledge ...
The article presents a workflow to create a question-answering system whose knowledge base combines knowledge graphs and scientific publications on ...
General Knowledge Base Refinement · Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods (Semantic Web 2016) · Structured Knowledge: Have ...
Missing: Scientific Publication
Abstract. This paper presents our contribution to the Accuracy Track of Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab).
Knowledge Graphs (KGs) have applications in many domains such as Finance, Manufacturing, and Healthcare. While recent efforts have created large KGs, ...